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BUS7B48 HRM In Context Assessment Brief 2

Module Outcomes Assessed

• Discuss, evaluate, and critically reflect on the national and/or international market and competitive environments of organisations, and explain how organisational leaders interact with and respond to HR practitioners at operational and strategic levels.
• Critically evaluate how organisational and HR strategies are shaped and developed in response to internal and external environmental (STEEPLED/global and competitive) factors
• Analyse the future trends that will change the way organisations operate, and critically discuss how these trends will impact strategically on the business environment within which HR professionals work.

Assessment Task Details

Select an organisation of your choice and write a report addressing the following:

a) Provide a brief introduction of the organisation and evaluate the national and/or international market and competitive environment in which the organisation operates.

b) Critically evaluate how organisational and HR strategies are shaped and developed in response to internal and external environmental factors, using a STEEPLED (Social, Technological, Economic, Environmental, Political, Legal, Ethical, Demographic)

c) Identify and analyse future trends (e.g., AI, automation, remote work, ESG, demographic shifts, globalisation, DEI priorities, etc.) likely to change how organisations operate.

d) Critically discuss the strategic implications of these trends for the business environment in which HR professionals work.

Submission instructions – What should be the format of the submission? / Where should it be submitted?

The assignment should be submitted in the form of a written essay, in Microsoft Word or equivalent format, via Turnitin on Moodle.

Hints and Tips

Assessment Template

• This is an individual assignment.
• The written assignment should be in essay format, and structured in paragraphs, with an opening paragraph, paragraphs to aid discussion, and finally a closing paragraph.
• Paragraph headings should be relevant to the context of the assignment.
• References – all published sources cited in the report must be referenced in alphabetical order, in line with Harvard referencing.  These should be in alphabetical order.
• Appendices – this is where you should include all supporting information that you have used to support your analysis and discussion.  They could include tables, graphs, questionnaires, surveys or transcripts.  Please remember to refer to any appendices in your report.

Additional Guidance:

All submitted work is expected to observe academic standards in terms of referencing, academic writing, use of language, etc. Failure to adhere to these instructions may result in your work being awarded a lower grade than it would otherwise deserve.

Marking Criteria

Marking Criteria	Marks
Provide a brief introduction of the organisation and evaluate the national and/or international market and competitive environment in which the organisation operates.	20
Critically evaluate how organisational and HR strategies are shaped and developed in response to internal and external environmental factors, using a STEEPLED (Social, Technological, Economic, Environmental, Political, Legal, Ethical, Demographic)	25
Identify and analyse future trends (e.g., AI, automation, remote work, ESG, demographic shifts, globalisation, DEI priorities, etc.) likely to change how organisations operate.	20
Critically discuss the strategic implications of these trends for the business environment in which HR professionals work.	20
Conclusion (summary of the report)	15

%	Level 7 Generic Marking Criteria
Distinction
90-100	Outstanding: Outstanding systematic understanding of knowledge and critical awareness of current problems and/or new insights, informed by the forefront of the academic discipline, field of study or area of professional practice. The work demonstrates an outstanding knowledge of techniques applicable to research and advanced scholarship. Application of knowledge is original, with outstanding practical understanding of how established techniques of research and enquiry are used to create and interpret knowledge in the subject discipline. Work demonstrates outstanding critical evaluation of current research, advanced scholarship, and methodologies, and, where appropriate, proposes new hypotheses. There is evidence of outstanding systematic and creative management of complex issues to make sound judgments in the absence of complete data. Outstanding communication of conclusions to specialist and non-specialist audiences. Outstanding self-direction and originality in tackling and solving problems with evidence of an outstanding ability to advance personal knowledge and understanding and to develop new skills at a high level. An outstanding display of the qualities and transferable skills needed for employment that require initiative and personal responsibility, complex decision-making and independent learning for continued professional development.
80-90	Exceptional: In most areas, the qualities required for the grade above are displayed, though there may be negligible errors.
70-79	Excellent: In most areas, the qualities required for the grade above are displayed. There may be negligible errors and some minor inaccuracies/omissions.
Pass
60-69	Very Good: Very good systematic understanding of knowledge and critical awareness of current problems and/or new insights, informed by the forefront of the academic discipline, field of study or area of professional practice. The work demonstrates a very good knowledge of techniques applicable to research and advanced scholarship. Application of knowledge is original, with very good practical understanding of how established techniques of research and enquiry are used to create and interpret knowledge in the subject discipline. Work evidences very good critical evaluation of current research, advanced scholarship and methodologies to propose new hypotheses if appropriate. There is evidence of very good systematic and creative management of complex issues to make sound judgments in the absence of complete data. Very good communication of conclusions to specialist and non-specialist audiences. Very good self-direction and originality in tackling and solving problems with evidence of a very good ability to advance personal knowledge and understanding and to develop new skills at a high level. A very good display of the qualities and transferable skills needed for employment that require initiative and personal responsibility, complex decision-making and independent learning for continued professional development.
50-59	Fairly Good: Fairly good systematic understanding of knowledge and critical awareness of current problems and/or new insights, informed by the forefront of the academic discipline, field of study or area of professional practice. The work demonstrates a fairly good knowledge of techniques applicable to research and advanced scholarship. Application of knowledge is original, with a fairly good practical understanding of how established techniques of research and enquiry are used to create and interpret knowledge in the subject discipline. Work evidences a fairly good critical evaluation of current research, advanced scholarship and methodologies to propose new hypotheses if appropriate. There is evidence of fairly good systematic and creative management of complex issues to make sound judgments in the absence of complete data. Fairly good communication of conclusions to specialist and non-specialist audiences. Fairly good self-direction and originality in tackling and solving problems with evidence of a fairly good ability to advance personal knowledge and understanding and to develop new skills at a high level. A fairly good display of the qualities and transferable skills needed for employment that require initiative and personal responsibility, complex decision-making and independent learning for continued professional development.
40-49	Satisfactory: Satisfactory systematic understanding of knowledge and critical awareness of current problems and/or new insights, informed by the forefront of the academic discipline, field of study or area of professional practice. The work demonstrates a satisfactory knowledge of techniques applicable to research and advanced scholarship. Application of knowledge is original with satisfactory practical understanding of how established techniques of research and enquiry are used to create and interpret knowledge in the subject discipline. Work evidences satisfactory critical evaluation of current research, advanced scholarship and methodologies to propose new hypotheses if appropriate. There is evidence of satisfactory systematic and creative management of complex issues to make sound judgments in the absence of complete data. Satisfactory communication of conclusions to specialist and non-specialist audiences. Satisfactory self-direction and originality in tackling and solving problems with evidence of a satisfactory ability to advance personal knowledge and understanding and to develop new skills at a high level. A satisfactory display of the qualities and transferable skills needed for employment that require initiative and personal responsibility, complex decision-making and independent learning for continued professional development.
35-39	Marginal Refer/Fail: Some systematic understanding of knowledge and critical awareness of current problems and/or new insights, informed by the forefront of the academic discipline, field of study or area of professional practice. The work demonstrates some knowledge of techniques applicable to research and advanced scholarship. Application of knowledge is original, with some practical understanding of how established techniques of research and enquiry are used to create and interpret knowledge in the subject discipline. Work evidences limited critical evaluation of current research, advanced scholarship and methodologies to propose new hypotheses if appropriate. There is some evidence of systematic and creative management of complex issues to make sound judgments in the absence of complete data. Limited communication of conclusions to specialist and non-specialist audiences. Some self-direction and originality in tackling and solving problems with evidence of a limited ability to advance personal knowledge and understanding, and to develop new skills at a high level. A limited display of the qualities and transferable skills needed for employment that require initiative and personal responsibility, complex decision-making and independent learning for continued professional development. (Compensation is possible within the regulations of the board for undergraduate & postgraduate levels).
30-34	Refer/Fail: Minimal systematic understanding of knowledge and critical awareness of current problems and/or new insights, informed by the forefront of the academic discipline, field of study or area of professional practice. The work demonstrates minimal knowledge of techniques applicable to research and advanced scholarship. Application of knowledge is original, with minimal practical understanding of how established techniques of research and enquiry are used to create and interpret knowledge in the subject discipline. Work evidences minimal critical evaluation of current research, advanced scholarship and methodologies to propose new hypotheses if appropriate. Evidence of systematic and creative management of complex issues to make sound judgments in the absence of complete data is lacking. Limited communication of conclusions to specialist and non-specialist audiences. Minimal self-direction and originality in tackling and solving problems with evidence of a limited ability to advance personal knowledge and understanding and to develop new skills at a high level. Minimal display of the qualities and transferable skills needed for employment that require initiative and personal responsibility, complex decision-making and independent learning for continued professional development.
1-29	Clear Refer/Fail: Unsatisfactory systematic understanding of knowledge and critical awareness of current problems and/or new insights, informed by the forefront of the academic discipline, field of study or area of professional practice. The work lacks knowledge of techniques applicable to research and advanced scholarship. Application of knowledge is unoriginal without a practical understanding of how established techniques of research and enquiry are used to create and interpret knowledge in the subject discipline.

Question 1 The success of any air cargo airline hinges on the strategic alignment of its specialised fleet, the operational efficiency of its hub infrastructure, and its underlying financial resilience. Your group is required to select one (1) air cargo airline and its major hub airport.

Note that to avoid overlaps with other groups in your class, you need to indicate your selected cargo airline and its hub by replying to the relevant Discussion Board on Canvas. Before you post your selected cargo airline, make sure to check the cargo airlines already selected by other groups and change your airline if there is an overlap with a post submitted earlier.

(a) Select one specific long-haul route your selected cargo airline operates from the chosen hub. Explain which major aircraft type is used and discuss why it is operationally suitable for the airline’s business model and specifically carrying cargo on such route.

(18 marks)

(b) Examine the airline’s primary cargo terminal at the selected hub. Describe how the hub’s cargo terminal capabilities support reliable cargo operations and enhance airline’s ability to secure high-yield cargo.

(18 marks)

(c) Appraise the airline’s economic health and strategic response to market volatility over the last three years, utilising data from its annual reports and other credible sources.

(20 marks)

[Your write up for Q1(a) to Q1(c) together should preferably not exceed 1,800 words excluding the reference list.]

(d) Prepare a group presentation to be given on Seminar 6 on your findings in 1(a) to 1(c).

Each group should provide a summary presentation for about 10 minutes (maximum of 12 slides for each group). Note that all members of the team should participate in the presentation.

A clinical case study will be provided to you (related to kidney disease) and a couple of questions will be asked. You will have to do scientific literature search to answer the questions.

Support your answers with appropriate evidence (references). This assignment tests your ability to search scientific literature and present your answer in a scientific language. CDU library has heaps of resources to support you. Please make full use of these helpful resources:

Tips on academic/scientific writing: Avoiding plagiarism: APA referencing guide General Guidelines on how to write your assignment The word range for this assignment is between 800 words, this does not include references. Please stick to word limit, failing to do so will result in losing marks. Do not copy the case study details in your submission, just provide your answers.

Only word and pdf formats are acceptable (formats like “.pages” are NOT acceptable). This assignment must be submitted via Turnitin on Learnline. No COVER PAGE required. Proof reading or feedback of any kind of ASSIGNMENT QUESTIONS will not be provided prior to submission. Please contact the Learnline technical support if you have problems submitting the assignment. Formate: Font size 12; Font type: preferably Calibri or Arial. Line spacing 1.5 to 2.

Extention: You will have to submit an official extension request with supporting documents at least 5 days before the deadline.

Assignment mark: It is expected to take around 2 weeks to get your assignment marks being released after submission deadline.

Assessment Requirements This assessment requires students to respond to questions based on a clinical case study related to kidney disease. Students must conduct a scientific literature search to develop evidence-based answers and present them in clear academic/scientific language.

Key assessment expectations include:

Students must not copy the case study into their submission : only responses to the questions should be included.

Responses must be supported with credible scientific references using APA referencing style.

Word limit: 800 words (excluding references) : marks may be deducted for exceeding the limit.

The assignment must be written in a formal academic tone, avoiding plagiarism and following CDU academic integrity rules.

Submission format:

File type: Word or PDF only

Font size 12

Font style Calibri or Arial

Line spacing 1.5–2

Submission must be uploaded via Turnitin on Learnline.

No cover page is required.

Proofreading or pre-submission feedback on answers will not be provided.

Extension requests must be submitted at least 5 days prior to the deadline with supporting documentation.

Assessment marks are expected within two weeks after submission deadline.

Students are encouraged to use CDU Library resources, writing guides, APA referencing support, and plagiarism-avoidance tools.

How the Academic Mentor Guided the Student  The Academic Mentor supported the student through a structured, scaffolded learning and writing process, ensuring alignment with assessment standards and learning objectives.

Step 1 : Understanding the Case Study and Clarifying Task Requirements The mentor first helped the student:

interpret the case study scenario

identify the clinical focus (kidney disease pathology and patient context)

review the assessment rubric and marking criteria

highlight what the questions were asking (content depth, analysis, evidence use)

The student was guided to break down each question into:

key clinical concepts

biomedical processes involved

areas requiring research evidence

This helped the student avoid narrative retelling and instead focus on critical scientific explanation.

Step 2 : Developing a Scientific Literature Search Strategy The mentor demonstrated how to:

search peer-reviewed databases (PubMed, CINAHL, Google Scholar)

use keywords related to:

kidney physiology

renal disease mechanisms

evidence-based interventions

filter results for:

recency (last 5–10 years where applicable)

clinical relevance

systematic reviews and journal articles

The mentor reinforced evaluating sources for credibility, validity, and reliability.

Students were encouraged to prioritise:

clinical research

medical guidelines

academic journals

rather than general websites or non-scholarly sources.

Step 3 : Structuring the Scientific Responses The Academic Mentor guided the student to present responses in a logical, scientific format:

For each question:

Introduce the concept briefly

Explain underlying pathophysiology or clinical mechanism

Link explanation to case study context

Support arguments with literature evidence

Paraphrase appropriately to avoid plagiarism

The mentor emphasised:

concise explanation aligned to the word limit

integrating citations within the discussion

maintaining scientific tone and terminology

Step 4 : Referencing and Academic Integrity The mentor ensured the student understood:

APA in-text citation style

reference list formatting

paraphrasing techniques

avoiding direct copying

The student was guided to:

cross-check references with APA guide

ensure all cited sources appeared in reference list

keep Turnitin similarity within acceptable range

This strengthened understanding of ethical academic practice.

Step 5 : Final Draft Review and Self-Editing Rather than proofreading content, the mentor guided the student through self-review strategies, including:

checking word count compliance

ensuring clarity and coherence

confirming alignment with learning outcomes

verifying formatting standards (font, spacing, file type)

The mentor reinforced the importance of:

scientific clarity

evidence-based justification

structured academic writing style

assessment Overview

Assessment tasks				Learning Outcome Mapping
Assessment ID	Assessment Item	When due	Weighting	ULO#	CLO# for MITS
1	Case Study analysis: Investigation of business intelligence, decision making and decision support systems (Individual) (1500 Words)	Session 4	20%	1	1
2	Report – Design business intelligence system and data warehouse (Individual) (2000 Words)	Session 8	30%	2	1, 2
3*	Design, implementation and evaluation of a business intelligence solution (Group) Part A – Report (4000 Words) Part B – Presentation	Part A – Session 13 Part B – Session 14	Part A – 40% Part B – 10% Total – 50%	1, 3, 4	1, 2 ,4

Note: * denotes ‘Hurdle

Assessment Item’ that students must achieve at least 40% in this item to pass the unit.

Referencing guides

You must reference all the sources of information you have used in your assessments. Please use the IEEE referencing style when referencing in your assessments in this unit. Refer to the library’s referencing guides for more information.

• https://elearning.vit.edu.au/pluginfile.php/473840/block_html/content/VIT%20Library%20Refer  encing%20-%20IEEE%20-%2007042020.pdf

Academic misconduct

VIT enforces that the integrity of its students’ academic studies follows an acceptable level of excellence. VIT will adhere to its  VIT  Policies,  Procedures  and  Forms  where it explains the importance of staff and student honesty in relation to academic work. It outlines the kinds of behaviours that are “academic misconduct”, including plagiarism.

Late submissions

In cases where there are no accepted mitigating circumstances as determined through  VIT  Policies,  

 Procedures  and  Forms , late submission of assessments will lead automatically to the imposition of a penalty. Penalties will be applied as soon as the deadline is reached.

Short extensions and special consideration

Special Consideration is a request for:

•        Extensions of the due date for an assessment, other than an examination (e.g. assignment extension).

•        Special Consideration (Special Consideration in relation to a Completed assessment, including an end-of-unit Examination).

Students wishing to request Special Consideration in relation to an assessment the due date of which has not yet passed must engage in written emails to the teaching team to Request for Special Consideration as early as possible and prior to start time of the assessment due date, along with any accompanying documents, such as medical certificates.

For more information, visit  VIT  Policies,  Procedures  and  Forms .

Inclusive and equitable assessment

Reasonable adjustment in assessment methods will be made to accommodate students with a documented disability or impairment. Contact the unit teaching team for more information.

Contract Cheating

Contract cheating usually involves the purchase of an assignment or piece of research from another party. This may be facilitated by a fellow student, friend or purchased on a website. Other forms of contract cheating include paying another person to sit an exam in the student’s place.

Contract cheating warning:

•        By paying someone else to complete your academic work, you don’t learn as much as you could have if you did the work yourself.

•        You are not prepared for the demands of your future employment.

•        You could be found guilty of academic misconduct.

•        Many of for pay contract cheating companies recycle assignments despite guarantees of “original, plagiarism-free work” so similarity is easily detected by TurnitIn.

•        Penalties for academic misconduct include suspension and exclusion.

•        Students in some disciplines are required to disclose any findings of guilt for academic misconduct before being accepted into certain professions (e.g., law).

•        You might disclose your personal and financial information in an unsafe way, leaving yourself open to many risks including possible identity theft.

•        You also leave yourself open to blackmail – if you pay someone else to do an assignment for you, they know you have engaged in fraudulent behaviour and can always blackmail you.

Grades

We determine your grades to the following Grading Scheme:

Grade	Percentage
A	80% – 100%
B	70% – 79%
C	60% – 69%
D	50% – 59%
F	0% – 49%

 

Introduction

This assignment necessitates the analysis of a dataset, the interpretation of findings, and the presentation of conclusions through a written report. It is imperative that you complete this assignment on an individual basis and submit it electronically via the Learning Management System (LMS) before the specified due date. Ensure that you follow the LMS instructions to verify the correct submission of your work. Please note that we do not accept hard copies or assignments submitted via email. The assignment relies on the dataset found in the file Assignment1_RetailStore_Dataset.xlsx, which can be downloaded from LMS.

Case Study: Retail Store Data Set:

Supermarkets are on the rise in densely populated urban areas, leading to heightened market competition. This data set represents historical sales data from a supermarket company with records from three different branches over a three-month period. Utilizing predictive data analytics techniques with this dataset is highly accessible and straightforward.

Data Description:

The “Data Description” sheet describes all the variables used in the “Retail Store Dataset” and is copied below for your convenience.

Invoice id: Computer generated sales slip invoice identification number

Branch: Branch of supercenter (3 branches are available identified by X, Y and Z).

City: Location of supercenters

Customer type: Type of customers, recorded by Members for customers using member card and Normal for without member card.

Gender: Gender type of customer

Product line: General item categorization groups – Electronic accessories, Fashion accessories, Food and beverages, Health and beauty, Home and lifestyle, Sports, and travel

Unit price: Price of each product in $

Quantity: Number of products purchased by customer

Tax: 5% tax fee for customer buying

Total: Total price including tax

Date: Date of purchase (Record available from January 2022 to March 2022)

Time: Purchase time (10am to 9pm)

Payment: Payment used by customer for purchase (3 methods are available – Cash, Credit card and Ewallet) COGS: Cost of goods sold

Gross margin percentage: Gross margin percentage

Gross income: Gross income

Rating: Customer stratification rating on their overall shopping experience (On a scale of 1 to 10)

Task:

The task of designing a comprehensive Decision Support System (DSS) for a retail business based on the retail score dataset is a multifaceted assignment that requires students to apply their knowledge and skills in the domain of business intelligence and data analysis.

Let’s elaborate on this assignment:

Designing a Comprehensive DSS:

Understanding the Retail Score Dataset: To begin with, students should thoroughly understand the given retail score dataset. This entails examining the dataset’s structure, variables, and the kind of information it contains. They should also consider the specific objectives and needs of the retail business in question.

Defining DSS Components: Next, students need to design the components of the Decision Support System. A DSS typically includes various elements, such as a database, user interface, analytical tools, and reporting capabilities. Students should explain how each of these components will be integrated into the system.

Data Integration and Transformation: The retail score dataset might not be in the ideal format for decision support. Students should describe how they will integrate the dataset into the DSS and what preprocessing steps, like data cleansing and transformation, will be necessary to make the data suitable for analysis.

Analytical Tools and Algorithms: The heart of the DSS lies in its analytical capabilities. Students should select and justify the specific analytical tools, algorithms, and models they will use to extract insights from the data. For example, they might opt for clustering algorithms to segment customers or time series forecasting to predict sales trends.

User-Friendly Interface: Designing a user-friendly interface is critical. Students should discuss how they plan to present the data and insights to end-users, which may include retail managers and executives. This interface should be intuitive and facilitate data exploration and decision-making.

Aiding in Strategic Decision-Making:

Identifying Key Business Objectives: Students should define the strategic objectives of the retail business. These objectives could include enhancing customer experience or increasing sales. They need to explain how the DSS will align with and contribute to achieving these goals.

Data-Driven Insights: The core function of the DSS is to provide data-driven insights that support decision-making. Students should illustrate how the DSS will generate actionable insights from the retail score dataset. This could involve identifying customer preferences, forecasting demand, or detecting sales trends.

Scenarios and “What-If” Analysis: A robust DSS allows for scenario analysis. Students should describe how their system will enable users to conduct “what-if” analyses, helping decision-makers explore the potential impact of different strategies or market conditions.

Visualization and Reporting: Effective communication of insights is crucial. Students should outline how the DSS will present findings through visualization tools, dashboards, and reports. Visualizations can make complex data more understandable and actionable.

Monitoring and Adaptation: A good DSS should not be static. Students should discuss how the system will monitor the retail environment, collect real-time data, and adapt its recommendations based on changing conditions.

Overall, this assignment challenges students to think holistically about designing a DSS that leverages the retail score dataset to aid in strategic decision-making. It also highlights the importance of aligning the DSS with the specific needs and objectives of the retail business.

The report’s length should be approximately 1500 words (excluding references). Utilize 1.5 line spacing and a 12-point Times New Roman font. Employ both numerical and graphical statistical summaries, as sometimes insights can be gained from one that are not apparent in the other.

Once you have drafted your report, it can be valuable to set it aside for a day and then revisit it with fresh eyes. Read it as if you were unfamiliar with the analysis. Does it flow smoothly? Is it comprehensible? Can someone without prior knowledge understand your conclusions from the written material? This review process often reveals opportunities to edit the report for greater clarity and directness.

Note: Students can use any of the softwares such as Excel, PowerBI, Python, Statistica, Data Miner, Weka, RapidMiner, KNIME and MATLAB etc.

Your submission should consist of two separate files:

1.                Ensure the inclusion of the results produced by the software that was employed.

2.                Provide a Microsoft Word document containing your comprehensive report.

Submission Instructions

All submissions are to be submitted through the assignment 1 Drop-boxes that will be set up in the Moodle account for this Unit of Study. Assignments not submitted through these drop boxes will not be considered. Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator

Note: All work is due by the due date and time. Late submissions will be penalized at 20% of the assessment final grade per day, including weekends.

Marking Criteria/Rubric

You will be assessed on the following marking criteria/Rubric:

Total Marks: 20

Assessment criteria	Exceptional >=80%	Admirable 70% – 79%	Creditable 60% – 69%	Acceptable 50% – 59%	Unsatisfactory <=49
Understanding the Retail Score Dataset: 2 points	The student’s understanding of the dataset is exceptional, with a deep and nuanced exploration of its structure, variables, and an outstanding alignment with the retail business’s objectives.	The student demonstrates an excellent understanding of the dataset, comprehensively exploring its structure, variables, and effectively aligning it with the retail business’s specific objectives.	The student’s understanding of the dataset is good, with a thorough examination of its structure, variables, and a clear connection to the retail business objectives.	The student has a basic understanding of the dataset, exploring some aspects of its structure, variables, and relevance to the retail business.	The student’s understanding of the dataset is limited, with minimal exploration of its structure, variables, or relevance to the retail business.
Defining DSS Components 3 points	The student’s description of DSS components is exceptional, with a comprehensive and highly detailed integration plan.	The student’s description of DSS components is excellent, with a well-thought-out integration plan covering the database, user interface, analytical tools, and reporting.	The student’s explanation of DSS components is good, with a reasonable integration plan.	The student provides a basic description of DSS components with limited integration details.	The student’s description of DSS components is inadequate, with no clear integration plan.
Data Integration and Transformation 5 points	The student’s description of data integration and preprocessing is exceptional, with a highly detailed and well- justified plan.	The student provides an excellent description of data integration and comprehensive preprocessing steps.	The student’s description of data integration and preprocessing steps is good and clear.	The student provides a basic explanation of data integration with minimal preprocessing steps.	The student’s description of data integration and transformation is incomplete, with no preprocessing steps.
Analytical Tools and Algorithms 5 points	The student’s selection and justification of analytical tools and algorithms are exceptional, with comprehensive reasoning and exceptional depth.	The student demonstrates excellent selection and thorough justification of analytical tools, algorithms, and models.	The student’s selection and justification of analytical tools and algorithms are good and clear.	The student makes a basic selection with partial justification of analytical tools and algorithms.	The student’s selection and justification of analytical tools and algorithms are limited or absent.
User-Friendly Interface and Strategic Alignment 5 points	The student’s discussion is exceptional, with a deep alignment between the user- friendly interface and strategic objectives, showcasing outstanding	The student’s discussion is excellent, demonstrating a strong alignment between the user-friendly interface and strategic objectives, including its facilitation of decision-making.	The student’s discussion of the user-friendly interface and alignment with strategic objectives is good and reasonably clear.	The student provides a basic discussion with limited considerations for alignment with strategic objectives.	The student’s discussion of the user- friendly interface and alignment with strategic objectives is inadequate or missing.

clarity and depth.

Assessment Details for Assessment Item 2: Report – Design business intelligence system and data warehouse

Overview

	Assessment tasks			Learning Outcome Mapping
Assessment ID	Assessment Item	When due	Weighting	ULO#	CLO# for MITS
2	Report – Design business intelligence system and data warehouse (Individual) (2000 Words)	Session 8	30%	2	1, 2

Introduction

In this independent assessment, you will leverage the case study presented in Assessment Item 1 as a foundation for your tasks. A)             Develop the architecture for a business intelligence system and formulate a data warehouse framework.

B) Employ visual analytics to convey your discoveries. Your work will be presented in the format of a report.

The assignment relies on the dataset found in the file Assignment1_RetailStore_Dataset.xlsx, which can be downloaded from LMS.

Case Study: Retail Store Data Set:

The proliferation of supermarkets in densely populated urban regions has intensified market rivalry. This dataset contains historical sales information from a supermarket enterprise, encompassing records from three distinct branches during a three-month timeframe. Employing predictive data analytics methods with this dataset is easily accessible and uncomplicated.

Data Description:

The “Data Description” sheet describes all the variables used in the “Retail Store Dataset” and is copied below for your convenience.

Invoice id: Computer generated sales slip invoice identification number

Branch: Branch of supercenter (3 branches are available identified by X, Y and Z).

City: Location of supercenters

Customer type: Type of customers, recorded by Members for customers using member card and Normal for without member card.

Gender: Gender type of customer

Product line: General item categorization groups – Electronic accessories, Fashion accessories, Food and beverages, Health and beauty, Home and lifestyle, Sports and travel

Unit price: Price of each product in $

Quantity: Number of products purchased by customer

Tax: 5% tax fee for customer buying

Total: Total price including tax

Date: Date of purchase (Record available from January 2022 to March 2022)

Time: Purchase time (10am to 9pm)

Payment: Payment used by customer for purchase (3 methods are available – Cash, Credit card and Ewallet) COGS: Cost of goods sold

Gross margin percentage: Gross margin percentage

Gross income: Gross income

Rating: Customer stratification rating on their overall shopping experience (On a scale of 1 to 10)

Tasks:

Let’s break down the key components of this assessment:

you have access to a dataset that contains information related to a retail store. This dataset likely includes data on sales, customer information, inventory, and other relevant aspects of the retail business.

1.             Designing Business Intelligence (BI) System and Data Warehouse Framework:

Your first task is to design the architecture of a Business Intelligence (BI) system and a data warehouse framework.

a.             Business Intelligence System: A BI system is a set of tools and technologies that help in gathering, processing, storing, and analyzing data to provide valuable insights to support business decision-making. Your role in this assessment is to plan and design the structure and components of this system. You’ll need to decide how data will be collected, processed, and presented to the end-users.

b.             Data Warehouse Framework: A data warehouse is a central repository of data that is specifically designed for querying and reporting. You’ll need to define how data from the retail store dataset will be stored in the data warehouse. This involves decisions regarding data modeling, ETL (Extract, Transform, Load) processes, data storage technologies, and overall architecture.

B. Utilizing Visual Analytics: Visual analytics is a process of analyzing data through interactive and visual methods such as charts, graphs, and dashboards. In this assessment, you are expected to use visual analytics techniques to analyze the retail store dataset. This means you’ll be creating visual representations of data to uncover insights, trends, and patterns. Your findings should help us to understand the retail business better.

Submission as a Report: Finally, you are required to present your work in the form of a report. This report should document the following:

a.  Your design of the BI system and data warehouse framework, explaining the rationale behind your choices.

b.  Visualizations and insights obtained from the retail store dataset using visual analytics techniques.

c.  Any recommendations or conclusions drawn from your analysis.

d.  The report should be well-structured, clearly written, and include visual aids like charts or graphs to support your findings.

Following the successful completion of these tasks using the appropriate tools, produce an analytical report that leverages visual analytics to convey the insights uncovered to the Retail Store Directors.

The report should span roughly 2000 words (excluding references), adhere to 1.5 line spacing, and employ a 12-point Times New Roman font. Make use of both numerical and graphical statistical summaries, as certain insights may become apparent through one form of representation that might not be evident in the other.

Note: Students can use software such as Excel, PowerBI, Python, Statistica Data Miner, Weka, RapidMiner, KNIME and MATLAB etc.

Your submission should consist of two separate files:

1.             Ensure the inclusion of the results produced by the open-source software that was employed.

2.             Present a Microsoft Word document that includes your in-depth Strategic Advancement report, encompassing the insights derived from the completion of the tasks.

Submission Instructions

All submissions are to be submitted through turn-it-in. Drop-boxes linked to turn-it-in will be set up in the Unit of Study Moodle account. Assignments not submitted through these drop-boxes will not be considered.

Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator. Submissions made after the due date and time will be penalized at the rate of 20% per day (including weekend days).

The turn-it-in similarity score will be used in determining the level if any of plagiarism. Turn-it-in will check conference websites, Journal articles, the Web and your own class member submissions for plagiarism. You can see your turn-it-in similarity score when you submit your assignment to the appropriate drop-box. If this is a concern you will have a chance to change your assignment and re-submit. However, re-submission is only allowed prior to the submission due date and time. After the due date and time have elapsed you cannot make re-submissions and you will have to live with the similarity score as there will be no chance for changing. Thus, plan early and submit early to take advantage of this feature. You can make multiple submissions, but please remember we only see the last submission, and the date and time you submitted will be taken from that submission. Your document should be a single word or pdf document containing your

Note: All work is due by the due date and time. Late submissions will be penalized at 20% of the assessment final grade per day, including weekends.

Marking Criteria/Rubric

You will be assessed on the following marking criteria/Rubric:

Total Marks: 30

Assessment criteria	Exceptional >=80%	Admirable 70% – 79%	Creditable 60% – 69%	Acceptable 50% – 59%	Unsatisfactory <=49
Business Intelligence System 5 points	Demonstrates an outstanding BI system design, with advanced techniques and a compelling rationale, showcasing an exceptional understanding of BI principles.	Designs an advanced BI system with a comprehensive rationale, addressing data collection, processing, and presentation effectively.	Offers a well- structured and detailed design of the BI system with clear rationale.	Provides a basic outline of the BI system structure with limited rationale.	Does not provide any design for a BI system.
Data Warehouse Framework 5 points	Demonstrates an outstanding data warehouse framework design, with advanced techniques and a compelling rationale, showcasing an exceptional understanding of data warehousing principles.	Designs an advanced data warehouse framework with a comprehensive rationale, demonstrating an excellent understanding of data warehousing concepts.	Offers a well- structured and detailed design of the data warehouse framework with clear rationale, addressing data modeling, ETL processes, data storage technologies, and overall architecture.	Provides a basic outline of the data warehouse framework with limited rationale.	Does not provide any design for a data warehouse framework.
Utilizing Visual Analytics	Utilizes visual analytics techniques	Demonstrates advanced proficiency in visual	Effectively utilizes visual analytics to	Uses basic visual analytics techniques to	Does not utilize visual analytics techniques for
10 points	exceptionally well, presenting a wide range of advanced visualizations that reveal deep and meaningful insights, going beyond expectations.	analytics, providing a rich and detailed set of visual representations that uncover complex insights.	create clear and insightful data representations that uncover relevant insights, trends, and patterns.	represent data but lacks depth and insight.	data analysis.
Recommendation s and Conclusions 5 points	Offers outstanding recommendations and conclusions, going beyond expectations, and showcasing a profound understanding of the dataset.	Provides comprehensive recommendations and conclusions that demonstrate a deep understanding of the data and its implications.	Offers well- considered recommendations and conclusions based on the analysis.	Provides basic recommendations and conclusions, but they lack depth.	Does not provide any recommendations or conclusions.
Overall Quality 5 points	The overall assessment is of exceptional quality, demonstrating an exceptional understanding and effort.	The overall assessment is of high quality and exceeds expectations.	The overall assessment is of good quality, meeting most expectations.	The overall assessment is basic and meets minimum requirements.	The overall assessment demonstrates a lack of understanding and effort.

Assessment 3: Design, implementation, and evaluation of a business intelligence solution Overview

	Assessment tasks			Learning Outcome Mapping
Assessment ID	Assessment Item	When due	Weighting	ULO#	CLO# for MITS
3*	Design, implementation and evaluation of a business intelligence solution (Group) Part A – Report (4000 Words) Part B – Presentation	Part A – Session 13 Part B – Session 14	Part A – 40% Part B – 10% Total – 50%	1, 3, 4	1, 2 ,4

*This is a Hurdle task Introduction

In the context of this group evaluation, you will:

1.                Analyze the methods applicable for predictive and prescriptive analytics using provided datasets.

2.                Create and put into action a business intelligence solution.

3.                Construct components of the proposed solution.

As a team, you will be responsible for delivering a written report and delivering a presentation.

The assignment relies on the dataset found in the file Assignment3_Question_Dataset.xlsx, which can be downloaded from LMS.

Case Study: Loan Prediction Dataset:

Data Description:

Loan_ID: This is a unique identifier or reference number for each loan application. It is used to distinguish one loan application from another.

Gender: This column likely records the gender of the loan applicant, indicating whether they are male or female.

Married: This column may indicate the marital status of the applicant, specifying whether the applicant is married or not.

Dependents: This column typically records the number of dependents or family members financially reliant on the applicant.

Education: This column indicates the educational background of the applicant, specifying whether they are educated or not.

Self Employed: This column may show whether the applicant is self-employed or works for someone else.

Monthly Applicant Income ($): This column likely records the monthly income of the primary applicant in dollars.

Monthly Coapplicant Income ($): This column probably records the monthly income of any coapplicants, like a spouse or partner, in dollars.

Loan Amount ($): This column typically indicates the amount of the loan applied for, usually in dollars.

Loan Amount Term: This column is likely used to specify the term or duration of the loan, such as the number of months for repayment.

Credit History: This column may contain information about the credit history of the applicant, often indicating whether it is good or bad.

Property Area: This column likely represents the geographical area or location of the property for which the loan is sought.

Loan Status: This column usually indicates the status or outcome of the loan application, such as whether it was approved or denied.

Task:

Tasks – PART A

The major assessment task is a comprehensive project involving predictive and prescriptive analytics on loan prediction datasets, which will ultimately result in the design and implementation of a business intelligence solution.

Let’s break down the task and elaborate on each component:

Examination of Techniques for Predictive and Prescriptive Analytics:

In this phase, your group will explore and analyze various data analytics techniques and methods used for loan prediction. This typically involves studying statistical, machine learning, and data mining techniques that can be applied to historical loan data to make predictions about future loans. Predictive analytics aims to forecast future events, while prescriptive analytics goes a step further to provide recommendations on what actions to take based on the predictions. Your group will need to research and understand these techniques, including the data preprocessing steps, model selection, and evaluation metrics.

Design and Implementation of a Business Intelligence Solution:

After gaining a deep understanding of the techniques, your group will be tasked with designing a business intelligence (BI) solution. A BI solution involves creating a system or platform that integrates and analyzes data to provide valuable insights for decision-making. In this context, it means creating a system that can handle loan data and provide insights into whether a loan applicant is likely to be approved or denied. The design phase involves planning how the system will be structured, what data sources will be used, and how the analytics will be applied.

The implementation phase is about actually building the BI solution. This may involve developing software applications, setting up databases, and integrating various tools and technologies. You’ll also need to implement the predictive and prescriptive analytics models that were examined in the first phase. This might include using programming languages like Python or R, and machine learning libraries such as Scikit-Learn or TensorFlow.

Development of Elements of the Proposed Solution:

This component refers to the practical work of creating different components of the BI solution. This could include data collection and cleaning, model training and testing, integration with visualization tools, and the creation of a user interface if necessary. It’s the hands-on work that transforms your design into a functional system.

Report and Presentation:

Once the design and implementation phases are complete, your group will need to compile a report that documents the entire process. The report should detail the techniques examined, the design of the BI solution, the steps taken in the development phase, and the results obtained. It should also include insights gained from the analytics, any challenges faced, and recommendations for improving the solution or addressing potential issues.

The presentation component involves summarizing the report’s key findings and presenting them to an audience, such as your peers or instructors. This is an opportunity to showcase your work, explain your methodology, and share the insights your solution has generated. Effective communication and visualization of your results are crucial during this phase.

In summary, this assessment task encompasses a full cycle of data analytics and business intelligence development, from research and analysis to the practical implementation and reporting. It’s a comprehensive project that allows your group to apply theoretical knowledge to a real-world problem, demonstrating your ability to harness data for decision-making in the context of loan prediction.

Tasks – PART B

Each member of the group will deliver a concise 5-minute oral presentation on the submitted business report and the accompanied visual dashboard.

Submission:

Your submission should be divided into two distinct files:

1.                Submit a Microsoft Word document containing your comprehensive business report, detailing the insights obtained from the completion of Part A.

2.                Provide a separate Microsoft PowerPoint presentation containing the slides used for your presentation.

Submission Guidelines:

Ø  The Analysis report of 1500 words must be submitted digitally, either in PDF or Word document format. The report should include an appendix at the end containing screenshots of the Python code along with its corresponding output

Ø  The oral presentation can be delivered using presentation software (e.g., PowerPoint, Google Slides).

Ø  Ensure proper citation and referencing for any external sources or datasets used.

Ø  Please submit two files, the Report and the Oral Presentation, through the link provided in the LMS before the specified deadline.

Note: Collaboration within the group is encouraged, but each group member must contribute substantially to the analysis, report writing, and presentation. Plagiarism or unauthorized use of external sources will result in penalties.

Marking Criteria/Rubric

You will be assessed on the following marking criteria/Rubric:

Total Marks: 50

Assessment criteria	Exceptional >=80%	Admirable 70% – 79%	Creditable 60% – 69%	Acceptable 50% – 59%	Unsatisfactory <=49
Examination of Techniques for Predictive and Prescriptive Analytics 10 points	Exceptional exploration with comprehensive explanations. Deep understanding of predictive and prescriptive analytics methods and provides	In-depth exploration with detailed explanations. Extensive understanding of predictive and prescriptive analytics methods.	Thorough examination of techniques with clear explanations. Demonstrates a good understanding of predictive and	Superficial exploration with limited details on techniques. Basic understanding of predictive and prescriptive analytics	Little to no exploration of techniques. Lack of understanding of predictive and prescriptive analytics methods.

 

	innovative insights.		prescriptive analytics methods.	methods.
Design and Implementation of a Business Intelligence Solution 10 points	Exceptional design plan, innovative and comprehensive in all aspects. Demonstrates a deep understanding of BI solution design.	Detailed and comprehensive design plan. Demonstrates a sophisticated approach to BI solution design.	Well-thought-out design plan with clarity on structure, data sources, and analytics application.	Basic design plan with limited details. Clear but simplistic approach to BI solution design.	Lack of planning for BI solution design. No clarity on the structure, data sources, or analytics application.
Development of Elements of the Proposed Solution 10 points	Exceptional practical work with innovative and comprehensive components. Demonstrates a deep understanding and mastery of development.	Comprehensive practical work with well- developed components. Shows sophistication in data collection, model training, and integration.	Most components are developed but lacks depth or sophistication. Adequate evidence of data collection, model training, and integration.	Basic practical work with minimal components developed. Limited evidence of data collection and model integration.	Incomplete or missing practical work. No   evidence of data collection, model training, integration, or user interface development.
Report 10 points	Exceptional report with comprehensive insights, challenges, and innovative recommendations.	Detailed and well- organized report with valuable insights, challenges, and recommendations.	Well-structured report with clear insights, challenges, and recommendations.	Basic report structure with some insights but lacks depth and clarity.	Poorly structured or incomplete report. Limited or no insights, challenges, or recommendations
Overall Assessment 10 points	An outstanding performance that is innovative, comprehensive, and demonstrates a	An impressive performance that goes beyond expectations, showing a high level of understanding and	A good performance that meets expectations and demonstrates a solid	Meets minimum requirements but lacks depth and sophistication.	Fails to meet basic requirements and expectations.

 

	profound mastery of the subject matter.	competence.	understanding.
Oral Presentation 10 points	The presentation is exceptional and leaves a strong, lasting impression.	The presentation is very good and effectively conveys the message.	The presentation is good but could benefit from improvements.	The presentation is Satisfactory and does not convey the results.	The presentation is inadequate and fails to convey the message effectively

Assessment Overview

Assessment tasks				Learning Outcome Mapping
Assessment ID	Assessment Item	When due	Weighting	ULO#	CLO# for MITS
1	Case Study analysis: Investigation of business intelligence, decision making and decision support systems (Individual) (1500 Words)	Session 4	20%	1	1
2	Report – Design business intelligence system and data warehouse (Individual) (2000 Words)	Session 8	30%	2	1, 2
3*	Design, implementation and evaluation of a business intelligence solution (Group) Part A – Report (4000 Words) Part B – Presentation	Part A – Session 13 Part B – Session 14	Part A – 40% Part B – 10% Total – 50%	1, 3, 4	1, 2 ,4

Note: * denotes ‘Hurdle

Assessment Item’ that students must achieve at least 40% in this item to pass the unit.

Referencing guides

You must reference all the sources of information you have used in your assessments. Please use the IEEE referencing style when referencing in your assessments in this unit. Refer to the library’s referencing guides for more information.

• https://elearning.vit.edu.au/pluginfile.php/473840/block_html/content/VIT%20Library%20Refer  encing%20-%20IEEE%20-%2007042020.pdf

Academic misconduct

VIT enforces that the integrity of its students’ academic studies follows an acceptable level of excellence. VIT will adhere to its  VIT  Policies,  Procedures  and  Forms  where it explains the importance of staff and student honesty in relation to academic work. It outlines the kinds of behaviours that are “academic misconduct”, including plagiarism.

Late submissions

In cases where there are no accepted mitigating circumstances as determined through  VIT  Policies,  

 Procedures  and  Forms , late submission of assessments will lead automatically to the imposition of a penalty. Penalties will be applied as soon as the deadline is reached.

Short extensions and special consideration

Special Consideration is a request for:

•        Extensions of the due date for an assessment, other than an examination (e.g. assignment extension).

•        Special Consideration (Special Consideration in relation to a Completed assessment, including an end-of-unit Examination).

Students wishing to request Special Consideration in relation to an assessment the due date of which has not yet passed must engage in written emails to the teaching team to Request for Special Consideration as early as possible and prior to start time of the assessment due date, along with any accompanying documents, such as medical certificates.

For more information, visit  VIT  Policies,  Procedures  and  Forms .

Inclusive and equitable assessment

Reasonable adjustment in assessment methods will be made to accommodate students with a documented disability or impairment. Contact the unit teaching team for more information.

Contract Cheating

Contract cheating usually involves the purchase of an assignment or piece of research from another party. This may be facilitated by a fellow student, friend or purchased on a website. Other forms of contract cheating include paying another person to sit an exam in the student’s place.

Contract cheating warning:

•        By paying someone else to complete your academic work, you don’t learn as much as you could have if you did the work yourself.

•        You are not prepared for the demands of your future employment.

•        You could be found guilty of academic misconduct.

•        Many of for pay contract cheating companies recycle assignments despite guarantees of “original, plagiarism-free work” so similarity is easily detected by TurnitIn.

•        Penalties for academic misconduct include suspension and exclusion.

•        Students in some disciplines are required to disclose any findings of guilt for academic misconduct before being accepted into certain professions (e.g., law).

•        You might disclose your personal and financial information in an unsafe way, leaving yourself open to many risks including possible identity theft.

•        You also leave yourself open to blackmail – if you pay someone else to do an assignment for you, they know you have engaged in fraudulent behaviour and can always blackmail you.

Grades

We determine your grades to the following Grading Scheme:

Grade	Percentage
A	80% – 100%
B	70% – 79%
C	60% – 69%
D	50% – 59%
F	0% – 49%

 

Introduction

This assignment necessitates the analysis of a dataset, the interpretation of findings, and the presentation of conclusions through a written report. It is imperative that you complete this assignment on an individual basis and submit it electronically via the Learning Management System (LMS) before the specified due date. Ensure that you follow the LMS instructions to verify the correct submission of your work. Please note that we do not accept hard copies or assignments submitted via email. The assignment relies on the dataset found in the file Assignment1_RetailStore_Dataset.xlsx, which can be downloaded from LMS.

Case Study: Retail Store Data Set:

Supermarkets are on the rise in densely populated urban areas, leading to heightened market competition. This data set represents historical sales data from a supermarket company with records from three different branches over a three-month period. Utilizing predictive data analytics techniques with this dataset is highly accessible and straightforward.

Data Description:

The “Data Description” sheet describes all the variables used in the “Retail Store Dataset” and is copied below for your convenience.

Invoice id: Computer generated sales slip invoice identification number

Branch: Branch of supercenter (3 branches are available identified by X, Y and Z).

City: Location of supercenters

Customer type: Type of customers, recorded by Members for customers using member card and Normal for without member card.

Gender: Gender type of customer

Product line: General item categorization groups – Electronic accessories, Fashion accessories, Food and beverages, Health and beauty, Home and lifestyle, Sports, and travel

Unit price: Price of each product in $

Quantity: Number of products purchased by customer

Tax: 5% tax fee for customer buying

Total: Total price including tax

Date: Date of purchase (Record available from January 2022 to March 2022)

Time: Purchase time (10am to 9pm)

Payment: Payment used by customer for purchase (3 methods are available – Cash, Credit card and Ewallet) COGS: Cost of goods sold

Gross margin percentage: Gross margin percentage

Gross income: Gross income

Rating: Customer stratification rating on their overall shopping experience (On a scale of 1 to 10)

Task:

The task of designing a comprehensive Decision Support System (DSS) for a retail business based on the retail score dataset is a multifaceted assignment that requires students to apply their knowledge and skills in the domain of business intelligence and data analysis.

Let’s elaborate on this assignment:

Designing a Comprehensive DSS:

Understanding the Retail Score Dataset: To begin with, students should thoroughly understand the given retail score dataset. This entails examining the dataset’s structure, variables, and the kind of information it contains. They should also consider the specific objectives and needs of the retail business in question.

Defining DSS Components: Next, students need to design the components of the Decision Support System. A DSS typically includes various elements, such as a database, user interface, analytical tools, and reporting capabilities. Students should explain how each of these components will be integrated into the system.

Data Integration and Transformation: The retail score dataset might not be in the ideal format for decision support. Students should describe how they will integrate the dataset into the DSS and what preprocessing steps, like data cleansing and transformation, will be necessary to make the data suitable for analysis.

Analytical Tools and Algorithms: The heart of the DSS lies in its analytical capabilities. Students should select and justify the specific analytical tools, algorithms, and models they will use to extract insights from the data. For example, they might opt for clustering algorithms to segment customers or time series forecasting to predict sales trends.

User-Friendly Interface: Designing a user-friendly interface is critical. Students should discuss how they plan to present the data and insights to end-users, which may include retail managers and executives. This interface should be intuitive and facilitate data exploration and decision-making.

Aiding in Strategic Decision-Making:

Identifying Key Business Objectives: Students should define the strategic objectives of the retail business. These objectives could include enhancing customer experience or increasing sales. They need to explain how the DSS will align with and contribute to achieving these goals.

Data-Driven Insights: The core function of the DSS is to provide data-driven insights that support decision-making. Students should illustrate how the DSS will generate actionable insights from the retail score dataset. This could involve identifying customer preferences, forecasting demand, or detecting sales trends.

Scenarios and “What-If” Analysis: A robust DSS allows for scenario analysis. Students should describe how their system will enable users to conduct “what-if” analyses, helping decision-makers explore the potential impact of different strategies or market conditions.

Visualization and Reporting: Effective communication of insights is crucial. Students should outline how the DSS will present findings through visualization tools, dashboards, and reports. Visualizations can make complex data more understandable and actionable.

Monitoring and Adaptation: A good DSS should not be static. Students should discuss how the system will monitor the retail environment, collect real-time data, and adapt its recommendations based on changing conditions.

Overall, this assignment challenges students to think holistically about designing a DSS that leverages the retail score dataset to aid in strategic decision-making. It also highlights the importance of aligning the DSS with the specific needs and objectives of the retail business.

The report’s length should be approximately 1500 words (excluding references). Utilize 1.5 line spacing and a 12-point Times New Roman font. Employ both numerical and graphical statistical summaries, as sometimes insights can be gained from one that are not apparent in the other.

Once you have drafted your report, it can be valuable to set it aside for a day and then revisit it with fresh eyes. Read it as if you were unfamiliar with the analysis. Does it flow smoothly? Is it comprehensible? Can someone without prior knowledge understand your conclusions from the written material? This review process often reveals opportunities to edit the report for greater clarity and directness.

Note: Students can use any of the softwares such as Excel, PowerBI, Python, Statistica, Data Miner, Weka, RapidMiner, KNIME and MATLAB etc.

Your submission should consist of two separate files:

1.                Ensure the inclusion of the results produced by the software that was employed.

2.                Provide a Microsoft Word document containing your comprehensive report.

Submission Instructions

All submissions are to be submitted through the assignment 1 Drop-boxes that will be set up in the Moodle account for this Unit of Study. Assignments not submitted through these drop boxes will not be considered. Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator

Note: All work is due by the due date and time. Late submissions will be penalized at 20% of the assessment final grade per day, including weekends.

Marking Criteria/Rubric

You will be assessed on the following marking criteria/Rubric:

Total Marks: 20

Assessment criteria	Exceptional >=80%	Admirable 70% – 79%	Creditable 60% – 69%	Acceptable 50% – 59%	Unsatisfactory <=49
Understanding the Retail Score Dataset: 2 points	The student’s understanding of the dataset is exceptional, with a deep and nuanced exploration of its structure, variables, and an outstanding alignment with the retail business’s objectives.	The student demonstrates an excellent understanding of the dataset, comprehensively exploring its structure, variables, and effectively aligning it with the retail business’s specific objectives.	The student’s understanding of the dataset is good, with a thorough examination of its structure, variables, and a clear connection to the retail business objectives.	The student has a basic understanding of the dataset, exploring some aspects of its structure, variables, and relevance to the retail business.	The student’s understanding of the dataset is limited, with minimal exploration of its structure, variables, or relevance to the retail business.
Defining DSS Components 3 points	The student’s description of DSS components is exceptional, with a comprehensive and highly detailed integration plan.	The student’s description of DSS components is excellent, with a well-thought-out integration plan covering the database, user interface, analytical tools, and reporting.	The student’s explanation of DSS components is good, with a reasonable integration plan.	The student provides a basic description of DSS components with limited integration details.	The student’s description of DSS components is inadequate, with no clear integration plan.
Data Integration and Transformation 5 points	The student’s description of data integration and preprocessing is exceptional, with a highly detailed and well- justified plan.	The student provides an excellent description of data integration and comprehensive preprocessing steps.	The student’s description of data integration and preprocessing steps is good and clear.	The student provides a basic explanation of data integration with minimal preprocessing steps.	The student’s description of data integration and transformation is incomplete, with no preprocessing steps.
Analytical Tools and Algorithms 5 points	The student’s selection and justification of analytical tools and algorithms are exceptional, with comprehensive reasoning and exceptional depth.	The student demonstrates excellent selection and thorough justification of analytical tools, algorithms, and models.	The student’s selection and justification of analytical tools and algorithms are good and clear.	The student makes a basic selection with partial justification of analytical tools and algorithms.	The student’s selection and justification of analytical tools and algorithms are limited or absent.
User-Friendly Interface and Strategic Alignment 5 points	The student’s discussion is exceptional, with a deep alignment between the user- friendly interface and strategic objectives, showcasing outstanding	The student’s discussion is excellent, demonstrating a strong alignment between the user-friendly interface and strategic objectives, including its facilitation of decision-making.	The student’s discussion of the user-friendly interface and alignment with strategic objectives is good and reasonably clear.	The student provides a basic discussion with limited considerations for alignment with strategic objectives.	The student’s discussion of the user- friendly interface and alignment with strategic objectives is inadequate or missing.

clarity and depth.

Assessment Details for Assessment Item 2: Report – Design business intelligence system and data warehouse

Overview

	Assessment tasks			Learning Outcome Mapping
Assessment ID	Assessment Item	When due	Weighting	ULO#	CLO# for MITS
2	Report – Design business intelligence system and data warehouse (Individual) (2000 Words)	Session 8	30%	2	1, 2

Introduction

In this independent assessment, you will leverage the case study presented in Assessment Item 1 as a foundation for your tasks. A)             Develop the architecture for a business intelligence system and formulate a data warehouse framework.

B) Employ visual analytics to convey your discoveries. Your work will be presented in the format of a report.

The assignment relies on the dataset found in the file Assignment1_RetailStore_Dataset.xlsx, which can be downloaded from LMS.

Case Study: Retail Store Data Set:

The proliferation of supermarkets in densely populated urban regions has intensified market rivalry. This dataset contains historical sales information from a supermarket enterprise, encompassing records from three distinct branches during a three-month timeframe. Employing predictive data analytics methods with this dataset is easily accessible and uncomplicated.

Data Description:

The “Data Description” sheet describes all the variables used in the “Retail Store Dataset” and is copied below for your convenience.

Invoice id: Computer generated sales slip invoice identification number

Branch: Branch of supercenter (3 branches are available identified by X, Y and Z).

City: Location of supercenters

Customer type: Type of customers, recorded by Members for customers using member card and Normal for without member card.

Gender: Gender type of customer

Product line: General item categorization groups – Electronic accessories, Fashion accessories, Food and beverages, Health and beauty, Home and lifestyle, Sports and travel

Unit price: Price of each product in $

Quantity: Number of products purchased by customer

Tax: 5% tax fee for customer buying

Total: Total price including tax

Date: Date of purchase (Record available from January 2022 to March 2022)

Time: Purchase time (10am to 9pm)

Payment: Payment used by customer for purchase (3 methods are available – Cash, Credit card and Ewallet) COGS: Cost of goods sold

Gross margin percentage: Gross margin percentage

Gross income: Gross income

Rating: Customer stratification rating on their overall shopping experience (On a scale of 1 to 10)

Tasks:

Let’s break down the key components of this assessment:

you have access to a dataset that contains information related to a retail store. This dataset likely includes data on sales, customer information, inventory, and other relevant aspects of the retail business.

1.             Designing Business Intelligence (BI) System and Data Warehouse Framework:

Your first task is to design the architecture of a Business Intelligence (BI) system and a data warehouse framework.

a.             Business Intelligence System: A BI system is a set of tools and technologies that help in gathering, processing, storing, and analyzing data to provide valuable insights to support business decision-making. Your role in this assessment is to plan and design the structure and components of this system. You’ll need to decide how data will be collected, processed, and presented to the end-users.

b.             Data Warehouse Framework: A data warehouse is a central repository of data that is specifically designed for querying and reporting. You’ll need to define how data from the retail store dataset will be stored in the data warehouse. This involves decisions regarding data modeling, ETL (Extract, Transform, Load) processes, data storage technologies, and overall architecture.

B. Utilizing Visual Analytics: Visual analytics is a process of analyzing data through interactive and visual methods such as charts, graphs, and dashboards. In this assessment, you are expected to use visual analytics techniques to analyze the retail store dataset. This means you’ll be creating visual representations of data to uncover insights, trends, and patterns. Your findings should help us to understand the retail business better.

Submission as a Report: Finally, you are required to present your work in the form of a report. This report should document the following:

a.  Your design of the BI system and data warehouse framework, explaining the rationale behind your choices.

b.  Visualizations and insights obtained from the retail store dataset using visual analytics techniques.

c.  Any recommendations or conclusions drawn from your analysis.

d.  The report should be well-structured, clearly written, and include visual aids like charts or graphs to support your findings.

Following the successful completion of these tasks using the appropriate tools, produce an analytical report that leverages visual analytics to convey the insights uncovered to the Retail Store Directors.

The report should span roughly 2000 words (excluding references), adhere to 1.5 line spacing, and employ a 12-point Times New Roman font. Make use of both numerical and graphical statistical summaries, as certain insights may become apparent through one form of representation that might not be evident in the other.

Note: Students can use software such as Excel, PowerBI, Python, Statistica Data Miner, Weka, RapidMiner, KNIME and MATLAB etc.

Your submission should consist of two separate files:

1.             Ensure the inclusion of the results produced by the open-source software that was employed.

2.             Present a Microsoft Word document that includes your in-depth Strategic Advancement report, encompassing the insights derived from the completion of the tasks.

Submission Instructions

All submissions are to be submitted through turn-it-in. Drop-boxes linked to turn-it-in will be set up in the Unit of Study Moodle account. Assignments not submitted through these drop-boxes will not be considered.

Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator. Submissions made after the due date and time will be penalized at the rate of 20% per day (including weekend days).

The turn-it-in similarity score will be used in determining the level if any of plagiarism. Turn-it-in will check conference websites, Journal articles, the Web and your own class member submissions for plagiarism. You can see your turn-it-in similarity score when you submit your assignment to the appropriate drop-box. If this is a concern you will have a chance to change your assignment and re-submit. However, re-submission is only allowed prior to the submission due date and time. After the due date and time have elapsed you cannot make re-submissions and you will have to live with the similarity score as there will be no chance for changing. Thus, plan early and submit early to take advantage of this feature. You can make multiple submissions, but please remember we only see the last submission, and the date and time you submitted will be taken from that submission. Your document should be a single word or pdf document containing your

Note: All work is due by the due date and time. Late submissions will be penalized at 20% of the assessment final grade per day, including weekends.

Marking Criteria/Rubric

You will be assessed on the following marking criteria/Rubric:

Total Marks: 30

Assessment criteria	Exceptional >=80%	Admirable 70% – 79%	Creditable 60% – 69%	Acceptable 50% – 59%	Unsatisfactory <=49
Business Intelligence System 5 points	Demonstrates an outstanding BI system design, with advanced techniques and a compelling rationale, showcasing an exceptional understanding of BI principles.	Designs an advanced BI system with a comprehensive rationale, addressing data collection, processing, and presentation effectively.	Offers a well- structured and detailed design of the BI system with clear rationale.	Provides a basic outline of the BI system structure with limited rationale.	Does not provide any design for a BI system.
Data Warehouse Framework 5 points	Demonstrates an outstanding data warehouse framework design, with advanced techniques and a compelling rationale, showcasing an exceptional understanding of data warehousing principles.	Designs an advanced data warehouse framework with a comprehensive rationale, demonstrating an excellent understanding of data warehousing concepts.	Offers a well- structured and detailed design of the data warehouse framework with clear rationale, addressing data modeling, ETL processes, data storage technologies, and overall architecture.	Provides a basic outline of the data warehouse framework with limited rationale.	Does not provide any design for a data warehouse framework.
Utilizing Visual Analytics	Utilizes visual analytics techniques	Demonstrates advanced proficiency in visual	Effectively utilizes visual analytics to	Uses basic visual analytics techniques to	Does not utilize visual analytics techniques for
10 points	exceptionally well, presenting a wide range of advanced visualizations that reveal deep and meaningful insights, going beyond expectations.	analytics, providing a rich and detailed set of visual representations that uncover complex insights.	create clear and insightful data representations that uncover relevant insights, trends, and patterns.	represent data but lacks depth and insight.	data analysis.
Recommendation s and Conclusions 5 points	Offers outstanding recommendations and conclusions, going beyond expectations, and showcasing a profound understanding of the dataset.	Provides comprehensive recommendations and conclusions that demonstrate a deep understanding of the data and its implications.	Offers well- considered recommendations and conclusions based on the analysis.	Provides basic recommendations and conclusions, but they lack depth.	Does not provide any recommendations or conclusions.
Overall Quality 5 points	The overall assessment is of exceptional quality, demonstrating an exceptional understanding and effort.	The overall assessment is of high quality and exceeds expectations.	The overall assessment is of good quality, meeting most expectations.	The overall assessment is basic and meets minimum requirements.	The overall assessment demonstrates a lack of understanding and effort.

Assessment 3: Design, implementation, and evaluation of a business intelligence solution Overview

	Assessment tasks			Learning Outcome Mapping
Assessment ID	Assessment Item	When due	Weighting	ULO#	CLO# for MITS
3*	Design, implementation and evaluation of a business intelligence solution (Group) Part A – Report (4000 Words) Part B – Presentation	Part A – Session 13 Part B – Session 14	Part A – 40% Part B – 10% Total – 50%	1, 3, 4	1, 2 ,4

*This is a Hurdle task Introduction

In the context of this group evaluation, you will:

1.                Analyze the methods applicable for predictive and prescriptive analytics using provided datasets.

2.                Create and put into action a business intelligence solution.

3.                Construct components of the proposed solution.

As a team, you will be responsible for delivering a written report and delivering a presentation.

The assignment relies on the dataset found in the file Assignment3_Question_Dataset.xlsx, which can be downloaded from LMS.

Case Study: Loan Prediction Dataset:

Data Description:

Loan_ID: This is a unique identifier or reference number for each loan application. It is used to distinguish one loan application from another.

Gender: This column likely records the gender of the loan applicant, indicating whether they are male or female.

Married: This column may indicate the marital status of the applicant, specifying whether the applicant is married or not.

Dependents: This column typically records the number of dependents or family members financially reliant on the applicant.

Education: This column indicates the educational background of the applicant, specifying whether they are educated or not.

Self Employed: This column may show whether the applicant is self-employed or works for someone else.

Monthly Applicant Income ($): This column likely records the monthly income of the primary applicant in dollars.

Monthly Coapplicant Income ($): This column probably records the monthly income of any coapplicants, like a spouse or partner, in dollars.

Loan Amount ($): This column typically indicates the amount of the loan applied for, usually in dollars.

Loan Amount Term: This column is likely used to specify the term or duration of the loan, such as the number of months for repayment.

Credit History: This column may contain information about the credit history of the applicant, often indicating whether it is good or bad.

Property Area: This column likely represents the geographical area or location of the property for which the loan is sought.

Loan Status: This column usually indicates the status or outcome of the loan application, such as whether it was approved or denied.

Task:

Tasks – PART A

The major assessment task is a comprehensive project involving predictive and prescriptive analytics on loan prediction datasets, which will ultimately result in the design and implementation of a business intelligence solution.

Let’s break down the task and elaborate on each component:

Examination of Techniques for Predictive and Prescriptive Analytics:

In this phase, your group will explore and analyze various data analytics techniques and methods used for loan prediction. This typically involves studying statistical, machine learning, and data mining techniques that can be applied to historical loan data to make predictions about future loans. Predictive analytics aims to forecast future events, while prescriptive analytics goes a step further to provide recommendations on what actions to take based on the predictions. Your group will need to research and understand these techniques, including the data preprocessing steps, model selection, and evaluation metrics.

Design and Implementation of a Business Intelligence Solution:

After gaining a deep understanding of the techniques, your group will be tasked with designing a business intelligence (BI) solution. A BI solution involves creating a system or platform that integrates and analyzes data to provide valuable insights for decision-making. In this context, it means creating a system that can handle loan data and provide insights into whether a loan applicant is likely to be approved or denied. The design phase involves planning how the system will be structured, what data sources will be used, and how the analytics will be applied.

The implementation phase is about actually building the BI solution. This may involve developing software applications, setting up databases, and integrating various tools and technologies. You’ll also need to implement the predictive and prescriptive analytics models that were examined in the first phase. This might include using programming languages like Python or R, and machine learning libraries such as Scikit-Learn or TensorFlow.

Development of Elements of the Proposed Solution:

This component refers to the practical work of creating different components of the BI solution. This could include data collection and cleaning, model training and testing, integration with visualization tools, and the creation of a user interface if necessary. It’s the hands-on work that transforms your design into a functional system.

Report and Presentation:

Once the design and implementation phases are complete, your group will need to compile a report that documents the entire process. The report should detail the techniques examined, the design of the BI solution, the steps taken in the development phase, and the results obtained. It should also include insights gained from the analytics, any challenges faced, and recommendations for improving the solution or addressing potential issues.

The presentation component involves summarizing the report’s key findings and presenting them to an audience, such as your peers or instructors. This is an opportunity to showcase your work, explain your methodology, and share the insights your solution has generated. Effective communication and visualization of your results are crucial during this phase.

In summary, this assessment task encompasses a full cycle of data analytics and business intelligence development, from research and analysis to the practical implementation and reporting. It’s a comprehensive project that allows your group to apply theoretical knowledge to a real-world problem, demonstrating your ability to harness data for decision-making in the context of loan prediction.

Tasks – PART B

Each member of the group will deliver a concise 5-minute oral presentation on the submitted business report and the accompanied visual dashboard.

Submission:

Your submission should be divided into two distinct files:

1.                Submit a Microsoft Word document containing your comprehensive business report, detailing the insights obtained from the completion of Part A.

2.                Provide a separate Microsoft PowerPoint presentation containing the slides used for your presentation.

Submission Guidelines:

Ø  The Analysis report of 1500 words must be submitted digitally, either in PDF or Word document format. The report should include an appendix at the end containing screenshots of the Python code along with its corresponding output

Ø  The oral presentation can be delivered using presentation software (e.g., PowerPoint, Google Slides).

Ø  Ensure proper citation and referencing for any external sources or datasets used.

Ø  Please submit two files, the Report and the Oral Presentation, through the link provided in the LMS before the specified deadline.

Note: Collaboration within the group is encouraged, but each group member must contribute substantially to the analysis, report writing, and presentation. Plagiarism or unauthorized use of external sources will result in penalties.

Marking Criteria/Rubric

You will be assessed on the following marking criteria/Rubric:

Total Marks: 50

Assessment criteria	Exceptional >=80%	Admirable 70% – 79%	Creditable 60% – 69%	Acceptable 50% – 59%	Unsatisfactory <=49
Examination of Techniques for Predictive and Prescriptive Analytics 10 points	Exceptional exploration with comprehensive explanations. Deep understanding of predictive and prescriptive analytics methods and provides	In-depth exploration with detailed explanations. Extensive understanding of predictive and prescriptive analytics methods.	Thorough examination of techniques with clear explanations. Demonstrates a good understanding of predictive and	Superficial exploration with limited details on techniques. Basic understanding of predictive and prescriptive analytics	Little to no exploration of techniques. Lack of understanding of predictive and prescriptive analytics methods.

 

	innovative insights.		prescriptive analytics methods.	methods.
Design and Implementation of a Business Intelligence Solution 10 points	Exceptional design plan, innovative and comprehensive in all aspects. Demonstrates a deep understanding of BI solution design.	Detailed and comprehensive design plan. Demonstrates a sophisticated approach to BI solution design.	Well-thought-out design plan with clarity on structure, data sources, and analytics application.	Basic design plan with limited details. Clear but simplistic approach to BI solution design.	Lack of planning for BI solution design. No clarity on the structure, data sources, or analytics application.
Development of Elements of the Proposed Solution 10 points	Exceptional practical work with innovative and comprehensive components. Demonstrates a deep understanding and mastery of development.	Comprehensive practical work with well- developed components. Shows sophistication in data collection, model training, and integration.	Most components are developed but lacks depth or sophistication. Adequate evidence of data collection, model training, and integration.	Basic practical work with minimal components developed. Limited evidence of data collection and model integration.	Incomplete or missing practical work. No   evidence of data collection, model training, integration, or user interface development.
Report 10 points	Exceptional report with comprehensive insights, challenges, and innovative recommendations.	Detailed and well- organized report with valuable insights, challenges, and recommendations.	Well-structured report with clear insights, challenges, and recommendations.	Basic report structure with some insights but lacks depth and clarity.	Poorly structured or incomplete report. Limited or no insights, challenges, or recommendations
Overall Assessment 10 points	An outstanding performance that is innovative, comprehensive, and demonstrates a	An impressive performance that goes beyond expectations, showing a high level of understanding and	A good performance that meets expectations and demonstrates a solid	Meets minimum requirements but lacks depth and sophistication.	Fails to meet basic requirements and expectations.

 

	profound mastery of the subject matter.	competence.	understanding.
Oral Presentation 10 points	The presentation is exceptional and leaves a strong, lasting impression.	The presentation is very good and effectively conveys the message.	The presentation is good but could benefit from improvements.	The presentation is Satisfactory and does not convey the results.	The presentation is inadequate and fails to convey the message effectively.

_ID Assessment Item When due Weighting ULO# CLO# for MITS

1 Research Report (Individual)

(1000 Words)

2 Case Study Report (Individual)

(1500 Words)

3* Risk Assessment and  Contingency Plan

Part A: Report

(2000 Words) (Group)

Session 6 20% 1, 2 1, 2  Session 8 30% 2, 3, 4 2, 3  Session 12 30% 1, 2, 3, 4 1, 2, 3, 4

 

Part B: Presentation (Group)

Session 13

20%

Note: * denotes ‘Hurdle Assessment Item’ that students must achieve at least 40% in this item to pass the unit.9

Referencing guides

You must reference all the sources of information you have used in your assessments. Please use the IEEE  referencing style when referencing in your assessments in this unit. Refer to the library’s referencing guides for  more information.

 

Academic misconduct

VIT enforces that the integrity of its students’ academic studies follows an acceptable level of excellence. VIT will  adhere to its VIT Policies, Procedures and Forms where it explains the importance of staff and student honesty in  relation to academic work. It outlines the kinds of behaviours that are”academic misconduct”, including plagiarism.

Late submissions

In cases where there are no accepted mitigating circumstances as determined through VIT Policies, Procedures  and Forms, late submission of assessments will lead automatically to the imposition of apenalty. Penalties will be  applied as soon as the deadline is reached.

Short extensions and special consideration

Special Consideration is a request for:

• Extensions of the due date for an assessment, other than an examination (e.g. assignment  extension).

• Special Consideration (Special Consideration in relation to a Completed assessment, including an  end-of-unit Examination).

Students wishing to request Special Consideration in relation to an assessment the due date of whichhas not yet  passed must engage in written emails to the teaching team to Request for Special Consideration as early as possible  and prior to start time of the assessment due date, along with any accompanying documents, such as medical  certificates.

For more information, visit VIT Policies, Procedures and Forms.

Inclusive and equitable assessment

Reasonable adjustment in assessment methods will be made to accommodate students with a documented disability  or impairment. Contact the unit teaching team for more information.

Contract Cheating

Contract cheating usually involves purchasing an assignment or piece of research from another party. This may be  facilitated by a fellow student or friend or purchased on a website. The unauthorized use of generative Artificial  Intelligence (AI) is also considered cheating. Other forms of contract cheating include paying another person to  sit an exam in the student’s place.

Contract cheating warning:

 

• By paying someone else to complete your academic work, you don’t learn as much as possible  if you did the work yourself.

• You are not prepared for the demands of your future employment.

• You could be found guilty of academic misconduct.

• Many of for pay-contract cheating companies recycle assignments despite guarantees of “original,  plagiarism-free work”, so the similarity is easily detected by Turnitin .

• Penalties for academic misconduct include suspension and exclusion.

• Students in some disciplines are required to disclose any findings of guilt for academicmisconduct  before being accepted into certain professions (e.g., law).

• You might disclose your personal and financial information unsafely, leaving yourselfopen to many  risks, including possible identity theft.

• You also leave yourself open to blackmail – if you pay someone else to do an assignment, they  know you have engaged in fraudulent behaviour and can always blackmail you.

Grades

We determine your grades to the following Grading Scheme:

Grade Percentage

A 80% – 100%

B 70% – 79%

C 60% – 69%

D 50% – 59%

F

0% – 49%

 

Assessment 1: Research Report

Overview

Weight Length Due date ULO

20%

1000 words

Session 6

ULO1 and ULO2

 

Introduction

In this individual assessment, you will select a country and explain the legislated cyber security regulation, laws and  ethics. You should provide your opinion on your findings. You are required to reference original laws (e.g.  commlaw) or court cases and to provide all references (PDFs, links, etc).

Research and discuss cyber issues concern. Identify and compare your chosen country and applicable laws in each  region (Australian-Pacific, Europe, America, and Asia). Recommend what type of policy/procedures an organisation  should have in place on the issue (do not write the policy/procedure) Recommend any other initiatives (for example,  Counter Ransomware Initiative) that might be applicable.

Your final report must include the following:

 Assignment Cover Page: (Use the cover sheet provided. Include the Title,

 Assignment number, Student Names and IDs, Subject)

 Executive summary

 Body (Numerous headings and text at the write choice)

 References/ Bibliography

Topics:

No two students can do the same topic. You are not limited to topics below.

Students Topic

Student Name: Student Number:

Australian Anti-Piracy Laws (2015). – Explain the law and how it will be used – Explain how it can be misused – Do you think it will work? Why/Why Not? Alternative? What are other  countries doing?

– Who will it hurt and who will it protect? (In reality, not just who it is

intended for)

Student Name:  Student Number:

Bitcoins

– Research bitcoins. How it works and how it is used. (e.g. Bitcoin mining)  – Explain its advantages and disadvantages in detail (e.g. can it be  tracked?)

– Fraud

 

Student Name: Student Number:

Crippleware verses Freeware versus educational verses Professional  – Explain the difference – What type of infringements are they trying to mitigate? – Does it work?

 

Freedom of Speech verses Protection of Children

– Explain various Government (US, Europe, Asia, Australia-Pacific)  approaches

– Explain which laws were created as a consequence of this issue.  – Did they work?

Freedom of Speech versus the China Great Firewall

– Explain what the Government is trying to mitigate  – Explain the technical implementation – how to overcome it.  – Does this breach Freedom of Speech in Western Countries

Sexting

– Explain what it is?

– Technical possibilities to restrict

– Is it a breach of Privacy?

 

Student Name: Student Number:

Revenge Porn – Explain what it is? – Technical possibilities to restrict. – What have Governments (particular California) done to try and stop it?

 

Online Consumer Profiling versus Privacy Laws

– Explain what it is?

– Technical implementation

– Why are people concern?

Online Self Regulatory Privacy

– Explain what it is?

– Technical implementation (e.g. Privacy seals, Membership, etc)  – Does it work? What is the alternative?

Do Not Track List versus the Privacy Laws

– Explain what it is?

– Technical implementation (e.g. Google Chrome Incognito mode vs  Firefox vs Windows 10 Approach)

– Would it work? What is the alternative?

Australian tax online services proposal

– Explain what it is?

– What are other countries doing?

– Technical implementation (e.g. Google Chrome Incognito mode vs  Firefox vs Windows 10 Approach)

– Would it work? What is the alternative?

– Cloud Services implication?

Plagiarism and Copyright

– What is it?

– Does Plagiarism infringe copyright?

– Have there been law cases? Verdict?

– Can a student be charge?

 

Student Name: Student Number:

Patent Protection of Software and Hardware – What is it? – Jurisdiction

29

Student Name:  Student Number:

Student Name:  Student Number:

Student Name:  Student Number:

Student Name:  Student Number:

Reverse engineering

– What is it?

– Do the current Australian laws provide adequate protection?  – Landmark cases?

– What are other countries doing?

Small Business Fraud

– Explain the main types (False invoicing, EFT to personal accounts,  Cheque/Payroll Fraud, Skimming)

– Do the current Australian laws provide adequate protection?  – Why does it happen?

– What are other countries doing?

– Long term impact?

– Who is the victim?

Legal Issue with Open-Source Code

– Explain legal issues with Open-Source Code

– Conformity, detection, prevention

– Legal action

– Types

– What are governments doing?

– Which laws applies

Cyberbullying and Cyberstalking

– What is it?

– Cases

– Prevention?

– Prosecution?

 

Student Name:

Cyberterrorism – What is it?

Student Number: – Cases

– Prevention?

– Prosecution?

– What are Governments doing?

– Which laws apply?

Student Name:  Student Number:

Student Name:  Student Number:

Computer Easter Eggs

– What is it?

– Legal Implication?

– What can companies do?

– What are Governments doing?

Computer Matching (for fraudulent activities)  – What is it?

– Legal Implication?

– Does it impede the Privacy laws?

– What are other Governments/Countries doing?

 

Student Name: Student Number:

Web Defacement – What is it? – Legal Implication? – What can companies do? – What are Governments doing? – Classic Cases

 

Marking Guide: 20 Marks

Task Description

Executive Summary and conclusion Summarize the entire documents with key findings.  Research and discuss the cyber

_{issues concern.} Introduce the report – how come this report was created?

Identify and compare your chosen  country and applicable laws in each region (Australian-Pacific, Europe,  America, and Asia).

Recommend what type of

policy/procedures an organisation  should have in place on this issue.

Recommend any other initiatives  (for example, Counter

Ransomware Initiative) that might  be applicable.

Appendix (including references)

Marking criteria/Rubric

Describe with appropriate laws and critically compare each region’s legal  requirement

Identify what measures an organisation should have including the  development of po

Conclude your report with key laws and recommendations.  Include screenshots of activities such as laws, comparisons of regions, etc.

You will be assessed on the following marking criteria/Rubric:

Assessment criteria Exceptional >=80% Admirable 70%  – 79%

Creditable  60% – 69%

Acceptable 50

The logic is clear and a

C1. Executive

summary includes key points

Summary and

of the whole report. Mostly

The summary is  mostly consistent  with some key

Adequately

summary with  limited key points

A brief relevant sum a limited  conclusion reference to the evi

conclusion

accurate and appropriately

2 points

deduced conclusions from

the evidence. (2)

C2. Research and
Comprehensively research

discuss the cyber  and justify the concern. (4)

issues concern.

4 points C3. Identify and

points. Mostly

accurate and

appropriately

deduced conclusions  from the

evidence. (1.5)

Well-explained

research and justified  the concern. (3)

Correct

conclusion with  some reference  to the evidence  (1.25)

Adequate

research and  justify the

concern. (2.5)
Limited research an the concern.  (2)
Comprehensively identify

compare your chosen

Very good

Adequately

Limited explanation given on

and compare all applicable

explanation of the

country to applicable

explain

comparison few laws are identify

laws in each global region.

(4)

laws in each region  (Australian-Pacific,  Europe, America, and  Asia).

4 points

applicable laws and  comparisons in each  global region. (3)

applicable laws  and

comparisons in  each global

region. (2.5)

discussed (2)

 

Recommend what type of policy/procedures an organisation has in place on this issue 4 points

Comprehensively identify policy/procedures needed in an organisation to combat  this cyber issue. (4)

Well-explained which policy/procedures  are needed in an organisation to combat this cyber  issue. (3)

Adequately identify policy/proced ures needed in  an organisation to combat this  cyber issue. (2.5)

Limited recommend and  policy/procedure not be present  (2)

 

Recommend any other

initiatives (for example,

Comprehensively explain  initiatives and develop your

Well-explained relevant  initiatives. (3)

Adequately explain initiative  (2.5)

Limited explanation  clear initiatives. (2)

Counter Ransomware

own initiatives. (4)

Initiative) that might be

applicable.

4 points

Appendix (including references) 2 points

Demonstrated efficient use of  Appendix and the appendix  supports the evidence collected. Use the appropriate reference citation (2)

Demonstrated a comprehensive  use of Appendices and the  appendices support the evidence collected. Use the  appropriate reference citation  (1.75)

Demonstrated adequate  use of the Appendix and  the appendix supports the  evidence collected. (1.25)

Limited use of appe Evidence may not b relevant. (1)

Important: To confirm your chosen topic and country, please send an email to your lecturer with the subject  line “Assignment 1 Topic Confirmation – [Your Name] – [Your Student ID]”. In the email, clearly state your  chosen topic and the country you will be focusing on for the legislated cyber security regulation.

Instructions for Writing the Research Report (1000 Words)

Your final report must include the following sections:

 Assignment Cover Page: Use the provided cover sheet. Include the Title, Assignment number, Student  Names and IDs, and Subject.

 Executive Summary and Conclusion: Summarize the entire document with key findings. Ensure it is  accurate and appropriately deduces conclusions from the evidence.

 Body (Numerous headings and text at the write choice): This section should cover the core of your  research.

o Research and Discuss Cyber Issues Concern: Introduce your report and explain the relevance  of the chosen cyber issue. You need to comprehensively research and justify the concern. o Identify and Compare Your Chosen Country and Applicable Laws in Each Region  (Australian-Pacific, Europe, America, and Asia): Describe with appropriate laws and critically  compare each region’s legal requirements related to your topic. This requires a comprehensive  identification and comparison of all applicable laws across these global regions.

o Recommend What Type of Policy/Procedures an Organisation Should Have in Place on This  Issue: Identify what measures an organisation should implement, including the development of  relevant policies. Comprehensively identify policy/procedures needed to combat the cyber issue.

o Recommend Any Other Initiatives (For example, Counter Ransomware Initiative) That  Might Be Applicable: Conclude your report with key laws and recommendations, including other  relevant initiatives. Comprehensively explain initiatives and, where appropriate, develop your  own initiatives.

 References/Bibliography: Provide a comprehensive list of all sources used.

 Appendix (including references): Include screenshots of activities such as laws, comparisons of regions,  etc.. Demonstrate efficient use of the Appendix, ensuring it supports the collected evidence, and use  appropriate reference citation.

Submission Instructions

All submissions are to be submitted through Turnitin. Drop-boxes linked to Turnitin will be set up in Learning  Management System (LMS). Assessments not submitted through these drop- boxes will not be considered.  The Turnitin similarity score will be used to determine any plagiarism of your submitted assessment. Turnitin  will check conference websites, Journal articles, online resources, and your peer’s submissions for plagiarism.  You can see your Turnitin similarity score when you submit your assessments to the appropriate drop-box. If  your similarity score is of concern, you can change your assessment and resubmit. However, re-submission is  only allowed before the submission due date and time. No excuse will be accepted due to file corruption, absence  from lecture.

The report should have a consistent, professional, and well-organized appearance. Also:

 Ensure that the filename for your submission follows this format: YourName-YourStudentID.docx  The assignment must adhere to the following formatting guidelines: 12-point font size, single line spacing,  and clear section headings.

 Reports must be submitted electronically as a single Microsoft Word document, through the Turnitin enabled submission link on the Learning Management System (LMS).

 Submissions in zip file format will not be accepted.

 Assignments submitted on the LMS will only be accepted. Submission of assignments through email is  not acceptable.

Note: All work is due by the due date and time. Late submissions will be penalized at 20% of the assessment  final grade per day, including weekends. You cannot make re-submissions after the cut-off date.

Assessment 2: Case Study Report

Overview

Weight Length Due date ULO

 

30%

1500 words

Session 8

Introduction

In this individual assessment, you will develop the cybersecurity policy, procedures, or guidelines for an organisation.  Your findings should be delivered in a written report. For the given case study (below) write the Data Security and  Privacy Policy for the case study presented below. Use an appropriate template to complete the report as shown in the  report structure section.

Report Structure

Use an appropriate policy template. For Example:

CONTENTS

1 PURPOSE

2 SCOPE

3 POLICY STATEMENT

<Sub-headings are not numbered>

4 PROCEDURE

<Sub-headings are not numbered>

5 RESPONSIBILITIES

Compliance,

monitoring

and review

Reporting

Records management

6 DEFINITIONS

Terms and definitions <delete if not required>

7 RELATED LEGISLATION AND DOCUMENTS

8 FEEDBACK

9 APPROVAL AND REVIEW DETAILS

10 APPENDIX <or APPENDICES> <delete if not required>

Case Study

ULO2, U Young Minds Secondary College (YMSC) is a private Australian secondary school that has been operating for several  years, developing innovative programs for its students. Its staff has grown from 15 to 120 and the school enrols 700  students across level 7 to 12. YMSC has been growing steadily over the past 10 years. They have built strong  relationships with the community and parents tend to send all their children to the school as well as recommending it to  other parents. The owners anticipate continued growth and are planning to purchase another school to set up another  campus.

YMSC is owned and operated by a group of parents who originally wanted to create an alternative education for their  children. Their children have since finished school but the school was so successful in growth and is now managed by  Joline Schack. The school’s IT facilities have grown along with the school, and it now employs 2 full time staff (Tim and  Abishek to keep the system running, as along with a program coordinator, Carol, who assists teachers to incorporate  computing within their programs).

Joline can foresee a time in the near future where they employ over 300 people across two campuses. Their staff are  mostly teachers, though the school does have a Human Resources manager, and Accounts Manager, several  administrative assistants (receptionist, office manager, secretary), and grounds staff.

You have very recently been contracted to solve an area of concern to the owners – information security. The school’s  security measures have been developed in a largely uncoordinated fashion and it has been suggested by Joline that  information security could threaten the survival of the

school. You have been given access to all staff for assistance in determining the security needs for YMSC.

In fact, it is Joline that has initiated your hiring. She encountered a little resistance from current ICT staff, arguing that  continuing with the current approach is satisfactory. That approach has been one without a formal policy where security  has been built in an ad-hoc, piecewise manner.

They would both say that the current policy has worked well enough up to now, thanks to the knowledge and expertise  within the team.

Joline would like to have Tim more onside with the structured and formal approach that you will bring. In an attempt to  get that support, Joline has asked you to begin your role with YMSC by developing a report that discusses how  information security could be better managed by YMSC.

While this report will largely be about general principles, she would also like you to go into detail on one specific issue  as a means of further demonstrating the usefulness of your formal approach. She would like you to go into detail about a  development that both she and Tim are very concerned about, problems that will be introduced by opening a second  campus. You have decided that you will choose one aspect of that development and draw up a Risk Management Plan for  it and include a recommendation based on a Cost-Benefit Analysis.

The Young Minds Secondary College Mission Statement

YMSC believes in providing students with an innovative educational program in a secure and modern  educational environment. Hardware and Software

The school currently uses commercial applications products for its processes. This includes a learning management  system (Moodle), MSOffice, accounts and finance (Business One), a VOIP telephone system internally and several  mobile phones for staff use. The school has a LAN infrastructure and it uses Wi-Fi throughout the campus. All  employees that require regular access to school systems are supplied with a desktop laptop – depending on their needs.  Students must have their own laptop or notebook and can access the school’s network through the Wi-Fi system. Some of  the school’s systems need to be accessed from off campus. The school does have a print and file servers. All data for  school management is backed up to cloud services provided by a local ICT provider. Email has been contracted to  Microsoft.

You can envision other hardware, software, and information/data management procedures as you deem appropriate.

Marking Guide: 30 Marks

Task: Data Security Policy Description

Purpose and Scope Appropriate define the purpose and the scope of the policy.

 

Procedures and Responsibilities

Describe who is responsible person at each stage of the procedure.

^{Relative legislation and other policies}

Describe how legislation and other policy affects this policy.

Feedback, Approval and Review

 

Determine appropriate feedback, approval and reviews for this policy.

Task: Privacy Policy Description

Purpose and Scope Appropriate define the purpose and the scope of the policy.  ^{Procedures and Responsibilities} Describe who is the responsible person at each stage of the procedure.  ^{Relative legislation and other policies} Describe how legislation and other policy affects this policy.

 

Feedback, Approval and Review

Determine appropriate feedback, approval and reviews for this policy.

Marking criteria/Rubric

You will be assessed on the following marking criteria/Rubric:  Data Security Policy

Assessment

Exceptional >=80% Admirable 70% –

Creditable 60% – Acceptable 50% –

Unsatisfactory

criteria

79%

69%

Purpose and Scope are

C1. Purpose  clear, concise, and

Purpose and Scope are  mostly clear, concise,

Purpose and Scope are  adequately clear,

59%

Purpose and Scope are  limited and may not be

<=49

Purpose and Scope are either missing or not clear

and Scope

(1)

relevant to the case  study (3)

and relevant to the  case study (2.5)

concise, and relevant to  the case study (2)

clear, concise, and  relevant to the case

ed or

Academ

3 points

study (1.5)

ic

Miscon  duct. (0)

Comprehensively and

C2.

clear procedures are

Procedures  clearly defined and the

and

responsibilities are

Responsibiliti  clearly identified (5)

es

Mostly clear and  procedures are clearly  defined and the

responsibilities are  clearly identified (3.5)

Appropriate clear and  procedures are clearly  defined and the

responsibilities are  clearly identified (3)

Adequately clear  procedures are  clearly defined and  the responsibilities  are adequately  identified (2.5)

Procedures and

Responsibilities are  missing or not clear. (1)

Not Submitted or

Academic Misconduct. (0)

5 points

Comprehensively list of

C3. Relative

clear appropriate

legislation

legislations and policies.

and other  (4)

Mostly relative  legislation and  policies. (3)

Appropriate relative  legislation and policies  are missing or not  addressed. (2.5)

Adequate relative  legislation and

policies are missing  or not addressed. (2)

Relative legislation and  other policies are missing  or not clear (1)

Not Submitted or

policies 4 points

Academic Misconduct. (0)

 

Feedback, Approval and Review 3 points

Appropriate feedback, approval, and review sections. (3)

The feedback approval and review have minor inappropriate  details, for example,  the review time is too  short or long (2.5)

Lacks appropriate details in feedback, approval and review.  (2)

Missing some fields or not all addresses (1.5)

Not Submitted or Academic Misconduct. (0)

Privacy Policy

Assessment  criteria

C1. Purpose  and Scope

3 points

Exceptional  >=80%

Purpose and  Scope are clear,  concise, and  relevant to the  case study (3)

Admirable  70% – 79%  Purpose and  Scope are

mostly clear,  concise, and  relevant to the  case study

(2.5)

Creditable  60% – 69%  Purpose and  Scope are

adequately  clear, concise,  and relevant  to the case  study (2)

Acceptable  50% – 59%  Purpose and

Scope are limited  and may not be  clear, concise,  and relevant to  the case study  (1.5)

Unsatisfactory  <=49

Purpose and Scope  are either missing  or not clear (1)  Not Submitted or  Academic

Misconduct. (0)

 

C2. Procedures  and Responsibilities  5 points

Comprehensively clear and procedures are clearly defined and the responsibilities are clearly identified (5)

Mostly clear and procedures are clearly defined and the responsibilities are clearly identified (3.5)

Appropriate clear and procedures are clearly defined and the responsibilities are clearly identified (3)

Adequately clear and procedures are clearly defined and the responsibilities are adequately identified (2.5)

Procedures and Responsibilities are missing or not  clear. (1) Not Submitted or Academic Misconduct. (0)

C3. Relative  legislation and  other policies

4 points

Comprehensive  list of clear

appropriate  legislations and  policies. (4)

Mostly relative  legislation and  policies. (3)

Appropriate  relative

legislation and  policies are  missing or not  addressed.  (2.5)

Adequate

relative

legislation and  policies are  missing or not  addressed. (2)

Relative

legislation and  other policies are  missing or not  clear (1)

Not Submitted or  Academic

Misconduct. (0)

 

Feedback, Approval and  Review 3 points

Appropriate feedback, approval, and review sections. (3)

The feedback approval and review have minor inappropriate details, for example, the review time is too short or long (2.5)

Lacks appropriate details in feedback, approval and review. (2)

Missing some fields or not all address (1.5)

Not Submitted or Academic Misconduct. (0)

Assessment 3: Risk Assessment and Contingency Plan Overview

Assessment

_{ID Assessment Item} When

_due Weighting ULO# CLO# for MITS

3* Risk Assessment and  Contingency Plan

Part A: Report

(2000 Words) (Group)

Session 12 30% 1, 2, 3, 4 1, 2, 3, 4

 

Part B: Presentation (Group)

Session 13

20%

 

Note: * denotes ‘Hurdle Assessment Item’ that students must achieve at least 40% in this item to pass the  unit

Introduction

A report detailing a security management plan for an organisation, including risk analysis, incident reporting, and  disaster recovery to manage security, and address legal and statutory obligations for a given case study. Your  group will present a written report and an oral defence of the justification of the risks involved.  In this group assessment, students will be given a case study and tasked with developing a robust security  management plan. You are required to produce a comprehensive report of approximately 2000 words (plus or  minus 200 words) addressing the following key aspects:

 Discuss the fit of your formal approach to security with the company’s values.

 Discuss the role your approach would play in terms of governance in general.

 Discuss the implications of legal and statutory requirements applicable to the case study.  In the introduction, explain the benefits a Risk Management Plan can bring to a company and the steps  you would go through to build one.

 Include a discussion on the importance of Contingency Planning to the company (as detailed in the case  study), as well as the risk analysis and cost-benefit-analysis mentioned.

 Development of a Security Plan

 List the threats, vulnerabilities, and attacks that your formal plan would manage.

 Keep the focus on the company’s context.

 Write a continuity plan and a business continuity plan for the case study.

 In the conclusion, discuss the benefits derived from seeing Security Management as an ongoing process.

Case Study: “InnovateTech Solutions”

Company Overview: InnovateTech Solutions is an Australian SME specializing in cutting-edge AI and machine  learning development, and data analytics consulting services. The company has been in operation for seven years and  has quickly gained a reputation for delivering innovative, data-driven solutions to clients in finance, healthcare, and  retail sectors. InnovateTech Solutions started with a core team of 8 data scientists and engineers and has rapidly  grown to a workforce of 75, serving over 150 high-profile clients globally. The company currently operates from a vibrant single office in a major city but is actively planning to expand its operations by opening two new satellite  offices in different international cities within the next 18 months to better serve its growing global client base and tap  into new talent pools.

Growth and Current Operations: InnovateTech Solutions has experienced exponential growth over the past  few years, largely driven by its proprietary AI algorithms and successful client project outcomes. The company is  managed by its visionary co-founder, Dr. Emily Clarke, who has steered the company’s rapid expansion from a  startup to a recognized leader in AI solutions. Dr. Clarke anticipates continued aggressive growth and is planning  to acquire two smaller AI research firms in different countries to further enhance InnovateTech Solutions’  intellectual property and market reach.

IT Infrastructure: The company’s IT infrastructure is highly specialized and critical to its operations. Initially, it  was managed by a small, agile IT team focused on supporting development environments. As the company grew,  the complexity and sensitivity of its IT needs significantly increased. Currently, the IT department consists of three  full-time staff members: Liam (Cloud Operations Lead), Sarah (Network Administrator), and David (Data  Security Analyst). They are responsible for maintaining the company’s high-performance computing clusters,  secure data lakes, and ensuring operational continuity for all client projects. Additionally, Maria, the Head of  Research, frequently collaborates with the IT team to integrate new research platforms securely.

Challenges and Concerns: With the planned international expansion and the acquisition of new firms, Dr. Clarke  foresees an urgent need to formalize and significantly enhance the company’s information security practices. The  current approach to IT security, while effective for a smaller, centralized operation, has been somewhat informal  and developed in an ad-hoc manner, heavily relying on the expertise of individual IT staff. Dr. Clarke is deeply  concerned that this informal approach will not be sufficient to protect the company’s highly sensitive intellectual  property, vast amounts of client data (which often includes personal and financial information), and its growing  global operations from sophisticated cyber threats. The prospect of managing data across multiple international  jurisdictions with varying data protection laws (e.g., GDPR, CCPA, local Asian privacy acts) is a major concern.

Your Role: You have recently been contracted as a specialist cybersecurity consulting firm to assess InnovateTech  Solutions’ current information security posture and provide comprehensive recommendations for improvement.  Dr. Clarke initiated your hiring, recognizing the critical need for a more structured, scalable, and globally  compliant approach to information security. However, there has been some apprehension from parts of the current  IT staff, who feel their existing agile methods are adequate and worry that formal policies might hinder rapid  innovation.

Objectives: Dr. Clarke has asked your group to develop a detailed report that outlines how information security  could be better managed at InnovateTech Solutions, with a particular focus on the challenges of international  expansion and cross-jurisdictional data management. While the report should cover general information security  principles, Dr. Clarke also wants you to focus on a specific, critical issue: the secure integration of newly  acquired international firms, specifically addressing secure data migration, network interoperability, and  ensuring compliance with relevant data privacy regulations across all entities. You are expected to create a  comprehensive Risk Management Plan for this issue, including a thorough risk analysis, and provide a  recommendation based on a detailed Cost-Benefit Analysis of your proposed solutions.

Mission Statement: InnovateTech Solutions is committed to leading innovation in AI and data analytics,  delivering transformative insights to clients while upholding the highest standards of intellectual property protection, data security, and client privacy globally.

Current IT Setup: InnovateTech Solutions utilizes a sophisticated mix of commercial, open-source, and  proprietary software products for its operations. This includes advanced AI/ML development platforms (e.g.,  TensorFlow, PyTorch), secure code repositories (e.g., GitHub Enterprise), project management software (e.g.,  Jira), collaborative productivity tools (e.g., Microsoft 365 E5 suite), specialized big data analytics tools (e.g.,  Apache Spark, Hadoop clusters), and an internal secure VoIP communication sys tem. The company’s  infrastructure relies heavily on a hybrid cloud model, leveraging both private cloud infrastructure for sensitive  data processing and major public cloud providers (e.g., AWS, Azure, Google Cloud) for scalable computing and  data storage. Employees are provided with high-performance workstations and laptops, and secure remote access  via Zero Trust Network Access (ZTNA) is enabled for all off-site work. All critical client data and intellectual  property are stored in geo-redundant, encrypted cloud data lakes with automated backups. Email and collaboration  services are hosted via Microsoft 365, with advanced threat protection enabled.

Next Steps: Your group’s task is to envision additional hardware, software, security frameworks, and  information/data management procedures that would robustly support the company’s ambitious international  expansion and acquisition plans, while ensuring unwavering information security practices and global regulatory  compliance.

Instructions for Writing and Presentation (Group)

Part A: Report (2000 Words)

Report Structure

The report must include the following:

 Assignment Cover Page. Use the cover sheet provided. Include the Title, Assignment number, Student  Names and IDs, Subject. Crucially, on this page, each group member must write a one-sentence  statement outlining their specific contribution to the report.

 Microsoft Word “Cover Page”. Include the name of the report, who it has been prepared for, and the  author(s).

 Executive summary (1 paragraph: Who the report is for, scope/purpose of report; action required).  Table of contents.

 Body (Numerous headings and text at the writer’s discretion). This will include an introduction that  describes the scope of the document and its structure.

 A sign-off page – a page for the relevant parties to accept and approve the report.

 References (List of works used in the document)/Bibliography (Materials relevant to the report, but not  directly used).

 Appendices for any other document you think could usefully be included.

Your report should be a comprehensive security management plan for InnovateTech Solutions, adhering to the  specified report structure. Pay close attention to the following sections as they align with the marking criteria:  Executive Summary: Summarize the entire document with key findings, who the report is for, its  scope/purpose, and the action required.

 Introduction: Introduce the report, explaining its creation and aligning your formal security approach  with InnovateTech Solutions’ values and its role in overall governance. Discuss the implications of legal  and statutory requirements applicable to the case study (e.g., GDPR, APPs), and explain the benefits and steps of a Risk Management Plan, including the importance of Contingency Planning, Risk Analysis, and  Cost-Benefit Analysis for InnovateTech Solutions.

 Description of the Model Used to Develop a Security Management Plan: Describe the security  management plan you’ve developed, focusing on how it addresses the unique context of InnovateTech  Solutions. This should include identifying and listing key threats, vulnerabilities, and attacks that your  plan would manage, along with recommended risk mitigation strategies. This section should clearly  present the cost-benefit analysis and impact of your proposed security measures. Additionally, you must  write a comprehensive continuity plan and a business continuity plan specifically tailored for  InnovateTech Solutions.

 The Legal and Statutory Requirements That Will Be Addressed: Detail the specific legal and statutory  requirements relevant to InnovateTech Solutions’ operations, especially considering its international  expansion and data handling across various jurisdictions, and how your plan addresses these.

 Describe the Cost-Benefit Analysis of Your Proposal: Provide a clear and detailed cost-benefit analysis  of your entire security plan, justifying the proposed investments in security measures against the potential  risks and their impacts.

 Conclusion: Conclude your report by discussing the benefits derived from seeing Security Management  as an ongoing process at InnovateTech Solutions and provide key methods and recommendations for  ongoing security.

 References/Bibliography: Provide a comprehensive list of all works used and any relevant materials.  Appendices: Include any additional supporting documents or detailed data you deem useful.

The report should have a consistent, professional, and well-organized appearance. Also:

 Ensure that the filename for your submission follows this format: YourGroupNumber.docx  The assignment must adhere to the following formatting guidelines: 12-point font size, single line spacing,  and clear section headings.

 Reports must be submitted electronically as a single Microsoft Word document, through the Turnitin enabled submission link on the Learning Management System (LMS).

 Submissions in zip file format will not be accepted.

 Assignments submitted on the LMS will only be accepted. Submission of assignments through email is not  acceptable.

Note: All work is due by the due date and time. Late submissions will be penalized at 20% of the assessment  final grade per day, including weekends. You cannot make re-submissions after the cut-off date.

Part B: Presentation (Group)

This is a group presentation, with only one presentation per group allowed.

 Presentation Duration: Each group member must present for 2-3 minutes.

 All members must present in person at the designated campus during Week 13. Failure to attend  and present in person will result in a zero grade for that assessment.

 Recording: You must record the video using a PowerPoint presentation (with narration/video of  presenters) or Zoom. All group members must appear in the video.

 Submission File Size: Your submission file size should be below 100MB.

 Submission Responsibility: The group leader is responsible for submitting the recorded video.  Failure to comply with these instructions will result in 0 marks for the presentation.

Marking Criteria/Rubric

You will be assessed on the following marking criteria/Rubric:

Marking Guide: 30 Marks Part A: Report (Group)

Task Description Marks Executive Summary Summarize the entire document with key findings. 2

Introductions Introduce the report – “how come this report was

3

created?”

Description of the model used to develop a security management plan

Describe the security management plan with regard to the case study

13

The legal and statutory requirements that will be addressed

Describe the cost-benefit analysis of your proposal

Describe the legal and statutory requirements with

5

regard to the case study

Describe the cost-benefit analysis of your security

5

plan

Conclusion Conclude your report with key methods and

2

recommendations

 

Marking Guide: 20 Marks Part B:

Presentation (Group)

Task Description Marks

Present your Security Plan Describe the security plan you developed from the

15

case study

Defend your plan during a critical review

Defend your security plan from your case study

5

BSNS5003 Assessment 3 Brief  Weighting  25%

Learning Outcome 3 Explain the application of marketing and sales principles and practices that support business performance.

Instructions Complete and submit your assessment according to the Open Polytechnic’s Assessments webpage. This includes information on academic integrity, formatting, word limits and referencing.

Include your name, student number and the assessment number. Number your pages. Submission Submit your assessment in two separate files: one for your planning evidence and one for your written assessment. Submit your work through your iQualify course. Emailed assessments will not be accepted. You will receive an automated notice advising you of your successful submission. By submitting your assessment, you confirm that it is your own original work.

Case Study: GreenEco Solutions GreenEco Solutions Product Launch: Sales And Marketing GreenEco Solutions is preparing to launch a third product line: reusable kitchenware. This line will include:

stainless steel lunchboxes beeswax food wraps bamboo utensils. The products are designed to replace single-use kitchen items and appeal to consumers seeking sustainable alternatives for food storage and meal preparation.

Business context for the launch

The reusable kitchenware market is growing, but competition is increasing, especially from overseas brands offering cheaper alternatives. GreenEco Solutions wants to leverage its brand reputation for quality and sustainability to enter this space. The company has a limited marketing budget for the launch and must prioritise costeffective strategies. As a product manager for the new product line, complete the following tasks for the head of GreenEco Solutions.

Task: Marketing And Sales  Preparing And Submitting Your Planning Evidence Before you begin writing your final response, please complete and keep a record of your planning.

You are required to submit planning evidence as part of this assessment. This allows you to demonstrate how you organised your ideas and prepared your work, a key part of being a reflective and independent learner.

Start by working through your planning using any method that suits your thinking process. This could include:

brainstorming, mind maps or diagrams bullet-point outlines or draft structures annotations, concept maps or research notes. You will submit this planning as part of your assessment. It is worth 15 marks and will be evaluated based on clarity, organisation of ideas, and evidence of thoughtful preparation.

Part A: Marketing Planning Choose one product from GreenEco Solutions’ new reusable kitchenware line.

Identify two SMART marketing objectives that GreenEco Solutions should focus on for this product over the next six months. Provide a brief rationale for each objective. Describe a key market segment GreenEco Solutions should target for this same product during the next six months. Explain why this segment presents a high potential. (16 marks) (Word count guideline: 200 words)

Part B: Marketing Mix Make appropriate recommendations, with reasons, for each of the core 4 Ps of the marketing mix—product, price, place and promotion—for your chosen product.

Ensure your decisions align with GreenEco Solutions’ goals, values and market needs. Think along the following decision areas for each of the 4 Ps:

The 4 Ps Decision area Product Product attributes and variations Packaging Branding and labelling Product support services Place Pricing objective(s) and strategy(ies) Distribution channels, including type of intermediaries Geographic focus Promotion Promotion strategy(ies) and broad methods Specific tactics (40 marks) (Word count guideline: 600 words)

Part C: Sales For your chosen product:

explain an appropriate personal selling process for your chosen product for a B2B partner explain how a social media salesperson would increase sales of your chosen product. Consider both the competencies they should have and the tasks they will undertake. (24 marks) (Word count guideline: 400 words)

Submission Of Planning Evidence This component encourages you to demonstrate your thinking and preparation before writing your final response. It supports your development as a reflective and independent learner.

Upload a copy of any planning materials you used to prepare your assessment. These may include:

brainstorming notes or mind maps outline structures or bullet-point plans annotated diagrams or concept maps any other work that shows how you organised your ideas. You may submit your planning in one of the following formats:

handwritten – scan or photograph your notes clearly before uploading typed or digitally created – use Word or PowerPoint, Google Docs or any other tool to create your planning materials hybrid – a combination of handwritten and digital formats. If you create your planning materials using Google Docs or other online tools, please download your file as a Word document before uploading it. This ensures your work can be accessed and marked by your facilitator.

(15 marks)

Writing, Referencing And Planning Evidence Ensure the structure and flow of your writing is clear and logical. Structure your writing with appropriate headings. You could use the bullet points in the task instructions as headings. Use correct grammar, spelling and punctuation.

Follow APA referencing conventions accurately whenever you refer to external resources contained in the course content or any other external resources.

(5 marks) (Total marks: 100)

BSNS5003 Assessment 3 Marking Schedule Part A: Marketing mix  13–16 marks 10.5–12.5 marks 8–10 marks 6.5–7.5 marks 1–6 marks Choose one product from GreenEco Solutions’ new reusable kitchenware line. 1.        Identify two SMART marketing objectives that GreenEco

Solutions should focus on for this product over the next six months. Provide a brief rationale for each objective.

2.        Describe a key market segment GreenEco Solutions should target for this same product during the next six months. Explain why this segment presents a high potential.

Objectives are exemplary: precise, measurable and clearly aligned with business goals. Rationales are compelling and show strategic thinking. Market segment is expertly chosen and justified with deep insight into consumer behaviour and market trends. Demonstrates sophisticated knowledge  of marketing strategy. Objectives are specific, measurable, and strategically aligned with the product. Rationales are insightful. Market segment is well-defined with a strong, evidencebased explanation of its potential. Demonstrates sound marketing knowledge. Objectives are clearly SMART and wellrationalised. Market segment is appropriate, and explanation shows a good knowledge of its relevance and potential. Ideas are mostly wellconnected and supported.

Identifies two SMART marketing objectives with generally accurate rationale. Describes a relevant market segment with a basic explanation of its potential. Demonstrates foundational knowledge  of marketing principles.

Provides a basic attempt at identifying marketing objectives and a market segment. Explanation may be partially accurate or contain errors. Some evidence of knowledge is present, but it lacks clarity or depth. Part B: Marketing mix 32–40 marks 26–31.5 marks 20–25.5 marks 16–19.5 marks 1–15.5 marks Make appropriate recommendations, with reasons for each of the core 4 Ps of the marketing mix—product, price, place and promotion—for your chosen product. Ensure your decisions align with GreenEco Solutions’ goals, values and market needs.

Recommendations for all 4 Ps are highly relevant, innovative and clearly aligned with GreenEco  Solutions’ sustainability goals, values and market needs. Rationales are insightful and welljustified and demonstrate a deep knowledge of marketing principles and consumer behaviour. Recommendations are thoughtful and relevant across all 4 Ps. Each decision is well-reasoned and shows clear alignment with GreenEco Solutions’ goals and market needs. Demonstrates strong knowledge of the marketing mix and its strategic application.

Provides appropriate recommendations for each of the 4 Ps. Rationales are generally accurate and show awareness of GreenEco Solutions’ values and market needs. Demonstrates foundational knowledge of marketing concepts.

 

Makes recommendations for most of the 4 Ps, though some may lack clarity or relevance. Rationales are partially accurate or underdeveloped. Some connection to GreenEco Solutions’ goals or market needs is evident but not consistent. Makes basic or incomplete recommendations for the 4 Ps. Explanations may be partially accurate or contain errors. Limited evidence of knowledge of marketing principles or alignment with GreenEco Solutions’ goals and market needs. Part C: Sales 19.5–24 marks 16–19 marks 12–15.5 marks 10–11.5 marks 1–9.5 marks For your chosen product: 1.        explain an appropriate personal selling process for your chosen product for a B2B partner

2.        explain how a social media salesperson would increase sales of your chosen product.  Consider both the competencies they should have and tasks they will undertake.

Provides a detailed explanation of a personal selling process tailored to a B2B partner. The social media salesperson’s role is described in depth, with a well-structured set of tasks that align with GreenEco Solutions’ values and market positioning.

Demonstrates sophisticated knowledge of both B2B and digital sales environments.

Explains a relevant and well-structured personal selling process for a B2B partner, showing good understanding of sales stages and buyer needs. Describes the social media salesperson’s role with appropriate competencies and tasks that support sales growth and brand alignment. Demonstrates a strong grasp of sales principles and digital engagement. Provides a generally accurate explanation of the personal selling process and outlines basic steps. Describes the social media salesperson’s role with relevant competencies and tasks. Shows foundational knowledge of sales processes and digital marketing. Offers a partially accurate or underdeveloped explanation of the personal selling process. The social media salesperson’s role is described with limited detail or relevance. Some knowledge of sales and marketing is evident, but it lacks clarity or depth.

Provides minimal or unclear explanation of the personal selling process. The social media salesperson’s role is vague or lacks relevance. Limited evidence of knowledge of sales principles or alignment with GreenEco Solutions’ goals. Planning evidence 12–15 marks 10–11.5 marks 7.5–9.5 marks 6–7 marks 1–5.5 marks Upload a copy of any planning materials you used to prepare your assessment. These may include: •             brainstorming notes or mind maps •       outline structures or bullet-point plans

•       annotated diagrams or concept maps

•       any other work that shows how you organised your ideas.

Planning is clear, wellorganised and detailed. Demonstrates strong evidence of structured thinking and preparation. Format is appropriate and clearly presented (handwritten, digital or hybrid). Planning is clear and relevant, showing good preparation. Some structure is evident, and the format is appropriate and legible. Planning is basic but present, showing some effort to organise ideas. May be brief or general but meets minimum expectations. Planning is limited or unclear. Shows minimal engagement with the task. May lack structure or clarity. Planning is missing, irrelevant or unreadable. No meaningful evidence of preparation provided. Writing and referencing 4–5 marks 3.5 marks 2.5–3 marks 2 marks 1–1.5 marks Ensure your writing is clear and logically structured using appropriate headings while maintaining correct grammar, spelling, and punctuation, Writing is free from spelling, punctuation and grammatical errors. Writing has a few spelling, punctuation and grammatical errors. Writing has some spelling, punctuation and grammatical errors, but Writing has numerous spelling, punctuation and grammatical errors. Some Writing is almost unintelligible. and accurately following APA referencing conventions when citing any external sources. Structure and flow are very clear and logical. Correct in-text citations and complete reference list included. No APA style errors.

 

Structure and flow are clear and logical. Correct in-text citations and complete reference list included. A few minor APA style errors.

 

these do not affect understanding. Structure and flow are generally logical and clear.

Incomplete in-text citations and incomplete reference list included. Some minor APA style errors

BSNS5001 Organisations in an Aotearoa New Zealand Context BSNS5001 Assessment 2 Weighting  35%

Learning Outcome 2  Analyse how bicultural partnerships can influence operational business activities and relationships in Aotearoa New Zealand.

Instructions Complete and submit your assessment according to the Open Polytechnic’s Assessments web page. This includes information on academic integrity, formatting, word limits and referencing.

Include your name, student number and the assessment number. Number your pages. Submission Submit your assessment in one or two files (refer to the Task 2 options). Submit your work through your iQualify course. Emailed assessments will not be accepted. You will receive an automated notice advising you of your successful submission. By submitting your assessment, you confirm that it is your own original work.

Assessment Overview In Assessment 1, you explored how different types of organisations in Aotearoa New Zealand operate, including Fonterra as an example of a co-operative enterprise. That assessment focused on purpose, key stakeholders, ownership and operational influences.

Assessment 2 builds on that foundation by examining who’s involved in Fonterra’s operations, who’s most influential among its stakeholders, and how bicultural partnerships guided by Te Tiriti o Waitangi principles shape relationships and operational activities.

This assessment will help you develop a strong understanding of how bicultural partnerships influence business activities and relationships in Aotearoa New Zealand. The insights you gain will also support your final assessment, where you will reflect on communication and ethical behaviour in professional and multicultural contexts.

There are four tasks to complete.

Task 1: Stakeholders – Who’s Involved Requirement

Identify six of Fonterra’s stakeholders (two internal and four external) and label each stakeholder as primary, secondary, direct or indirect.

Add two-to-three sentence explanations for each stakeholder covering:

their role or connection to Fonterra why you labelled them as you did the sources you used to identify them. (25 marks) (Word count guideline: 300 words)

Task 2: Power-Interest Grid – Who’s Most Influential Requirement

a. Create a power-interest grid that maps each of Fonterra’s six stakeholders (identified in Task 1) according to their level of power (influence) and interest (engagement) in the organisation.

b. Add two-to-three sentence explanations for each stakeholder covering:

why you placed them where you did on the grid two sources you used to support your placement decisions. You may hand draw and scan your power-interest grid or create it digitally (Word, PowerPoint or any similar tool). Focus on showing accurate plotting and explanations, not on graphic design. The explanations can either be added directly to the map or included in your main answer document.

(25 marks) (Word count guideline: 300 words)

Task 3: Te Tiriti Principles In Stakeholder Relationships Requirement

Choose two stakeholders from your Power–Interest Grid. For each:

a. discuss how one Te Tiriti o Waitangi principle (Partnership, Protection or Participation) currently influences Fonterra’s relationship with that stakeholder

b. propose one realistic strategy to strengthen that relationship in alignment with the same principle, explaining why it would be effective in Fonterra’s context.

Use a different principle for each stakeholder. Support your discussion with credible, current and referenced evidence.

(30 marks) (Word count guideline: 600 words)

Task 4: Bicultural Partnerships In Operational Activities Requirement

Discuss how bicultural partnership approaches grounded in Te Tiriti o Waitangi principles (Partnership, Participation, Protection) influence Fonterra’s wider operational activities and stakeholder engagement. Where relevant, identify multicultural partnership practices that complement these bicultural commitments.

Support your discussion with credible, current and referenced evidence.

(20 marks) (Word count guideline: 300 words) (Total word count guideline: 1500 words) (Total marks: 100 marks)

BSNS5001 Assessment 2 Marking Schedule Task 1: Stakeholders – who’s involved 20–25 marks 16.5–19.5 marks 12.5–16 marks 10–12 marks 1–9.5 marks Identify six of Fonterra’s stakeholders (two internal and four external) and label each stakeholder as primary, secondary, direct or indirect. Add two-to-three sentence explanations for each stakeholder covering:

•       their role or connection to Fonterra

•       why you labelled them as you did

•       the sources you used to identify them.

Correctly identifies six highly relevant stakeholders (two internal, four external) and labels each accurately as primary, secondary, direct, or indirect. The selections and labels are precise and fully consistent with Fonterra’s organisational context.

Identifies six appropriate stakeholders with accurate labels that correctly reflect their relationship to Fonterra. Identifies six suitable stakeholders and labels them correctly. Identifies most stakeholders correctly but includes some errors or missing labels. Identifies only some relevant stakeholders; labelling is limited, unclear or incomplete. Provides concise, welldeveloped explanations that clearly connect each stakeholder’s role, relationship and classification.

Provides clear explanations for all stakeholders linking role, relationship and classification. Provides basic explanations for each stakeholder linking role, relationship and classification. Provides explanations that are brief or lack consistent detail. Provides minimal or unclear explanations that only touch on some stakeholders. Integrates credible, relevant sources effectively to support all stakeholder choices and labels. Selects and uses suitable sources consistently to support most identifications and explanations, showing a clear connection between evidence and reasoning. Refers to relevant sources to confirm stakeholder choices and classifications, demonstrating appropriate but basic use of evidence.

 

 

Refers to limited or general sources; connection to task not always clear. Provides minimal or no reference to information sources. Task 2: Power-interest grid  – who’s most influential 20–25 marks 16.5–19.5 marks 12.5–16 marks 10–12 marks 1–9.5 marks a.       Create a power-interest grid that maps each of Fonterra’s six stakeholders (identified in Task 1) according to their level of power (influence) and interest

(engagement) in the organisation.

b.       Add two-three sentence explanations for each stakeholder covering:

•       why you placed them where you

did on the grid

•       two sources you used to support your placement decisions.

You may hand-draw and scan your power-interest grid or create it digitally (Word, PowerPoint, or any similar tool). Focus on showing accurate plotting and explanations, not on graphic design. The explanations can either be added directly to the map, or included in your main answer document.

 

 

 

 

 

 

 

Plots all stakeholders logically; placement clearly reflects each stakeholder’s actual level of power and interest. Grid is complete, clear, and professionally presented.

Plots all stakeholders logically with accurate placement of power and interest. Minor inconsistencies may be present but overall alignment is strong. Plots stakeholders in generally logical positions that reflect their overall level of power and interest, with some inconsistencies or less clear placements. Grid shows basic placement of stakeholders, but several positions are uncertain or only loosely linked to power and interest. Grid is incomplete or placements mostly do not align with stakeholder power and interest. Provides concise, welllinked explanations for all stakeholders that clearly justify grid placements. Provides clear explanations for all stakeholders that justify grid placements. Provides explanations for each stakeholder that support grid placements. Provides brief or partial explanations for most stakeholders; but connection to grid placement is limited.

Provides short or general statements for some stakeholders. Accurately identifies and integrates two credible, relevant sources supporting decisions. Sources cited clearly.

Two sources identified; mostly relevant with minor citation gaps. Sources mentioned but incomplete or inconsistent and evidence partly integrated. Sources are minimal or unreliable. Shows limited connection to placement decisions.

Assessment type: Industry Project (Individual)

Format: Presentation and Report

Due Date: Wednesday, Week 7 23:59 (Melbourne time) Presentation duration: 8-10 minutes, 10-15 slides + appendix

Weighting: 50% Report word count: 3000 words (+/- 10%)

Overview In this final assessment, you will present your integrated solutions, established metrics and an action plan in response to the case you have worked on in Assessment 1 and 2. You will also compile a report outlining the overall CX Design thinking process you have gone through to arrive at your solutions, metrics and action plan.

Assessment Criteria This assessment will measure your ability to:

Demonstrate professional communication skills that engage a business audience (10 pts) Model clear, logical academic writing and referencing skills (10 pts) Critically present data from secondary and primary sources to produce research insights relevant to the business (5 pts) Continuous redesign CX principles to produce clear, authentic and informative design artefacts relevant to the customer journey (5 pts) Formulate a CX strategy aligned with all elements of CX design that allows for sustainable competitive advantage (10 pts) Apply conceptual and practical knowledge of CX to develop metrics to assess your solutions and justify their feasibility and viability (10 pts) Course Learning Outcomes This assessment is relevant to the following course learning outcomes:

CLO1 Demonstrate a broad, critical and practical understanding of customer experience and practices in business. CLO2: Apply innovative design thinking and creativity approaches to effectively address experiential marketing problems. CLO4: Create a CX strategy that integrates all elements of customer experience design, to allow for sustainable competitive advantage. CLO5: Apply conceptual and practical knowledge on customer experience to planning, implementing, and monitoring solutions for real customer experience problems. CLO6: Write about, discuss and present on consumer experience phenomena within the conventions of academic standards at a master’s degree level. Assessment Details Your task is to articulate research insights that are clear and actionable and to present your strategy to form insights, define the problem, generate ideas to solve the problem, and find ways of measuring the outcome of these ideas, if they were to be implemented. Use the full CX Design thinking process to report insights about the current CX situation, define clear CX problems, articulate CX strategy, propose integrated and prototyped solutions, establish metrics and establish an aspirational CX journey.

Presentation Requirements Your presentation should cover the following items:

Overview of key insights (4-5 slides): Research context, insights and problems should be clear and actionable. This includes any information you think may be useful to help convey insights (e.g. personas and journeys) CX Strategy and Measurable, feasible and viable tested solutions (8-10 slides): Clearly articulate your CX Strategy based on the problem statement, what the brand stands for, and a vision for the future. Solutions should be integrated, well-developed (prototyped), smart, creative, original and effective. Your proposed ideas address should address your CX strategy and detected problems. Ensure that your solutions are measurable, viable and feasible. Include future journey maps here here. Appendix with design elements and other elements: Outline your research and ideation techniques. It should be clear how you have managed to get to your insights, personas, journeys, strategy and ideas. You can also use your appendix to provide more information on personas and journeys that you preferred not to show on the main slides to avoid cluttering. Report Requirements Your report should include the following sections:

1. Executive Summary (included in from the word count — make it short and sweet)
2. Relevant research insights

Your goal is to integrate and compile primary and secondary research insights that are relevant to the problems you detected. Now that you have gone through the research process individually and in a team, you should have a much better idea of what is relevant and what is not relevant. Being relevant means that you are specific, precise, and clear about the data you are interested in and how you frame the insights to provide context to the problem you have detected. In this process, you may need to leave some things out (things that initially seemed important but now may seem out of place). Check if you still need to collect more data to fill some knowledge gaps and to guarantee you are properly contextualising the characteristics and behaviour of the segment you have chosen. Ask yourself: do I have enough data to inform the final submission of my journey maps and personas? Do I need to collect more data? If so, what type of data should I collect? For example, you may realise you do not have much information on a relevant stage of your journey — can you collect more data to fill this gap? Remember, you are aiming for relevance and explanatory power.

3. Reassess your artefacts to make sure you only have relevant personas, journeys, and problem statement

Make sure you have included relevant personas, journeys, and problem statement. Make sure your personas and journey maps are rich and authentic. This is the third iteration of your personas and journey maps. While it might have been okay to be trialing personas and journey maps in Assessments 1 and 2, the expectation is that your personas and journey are well-built, precise, clear, informative, grounded in data, and therefore relevant to the proposed solutions in your assessment. Re-articulate the problem statement, if necessary, to get a more integrated POV. “How might we…[address the problem statement], while also being mindful of [brands’ mission, trends, or market issues]?”

4. CX Strategy and tested prototyped solutions

Your strategy can now be articulated in terms of a clear CX Vision and goals. Present your integrated solutions to address the problem. Your strategy should be clear and compelling, and address the problem statement, while also being aligned with what the brand stands for, and its vision for the future. The CX strategy is a statement about how you imagine the experiences provided by the organisation should look like and the CX vision works like a tag line that sums up the tone and brands’ promise for CX. The strategy also includes a plan of action with the solutions that you have proposed.

Your proposed ideas should address your CX strategy and detected problems. Include a prototype of your solution (e.g., mock-ups, storyboards, simulation or similar) and a clear sense of how your idea will unfold when you put in practice. You should also articulate how you are going to execute your solution. Whenever possible, test your solutions with your customers and have some feedback to report.

5. Aspirational CX journey

Present an aspirational CX journey in which it is clear how your solutions will improve the current journey. Your proposed solutions should be smart, creative, original, and effective. You should articulate how your ideas clearly address CX vision and detected problems and integrate well with pain points and gain points in the journeys. Demonstrate how your solutions change the journey.

6. Metrics, viability and feasibility

You should attach metrics to all your proposed solutions to be able to assess whether your initiatives occurred and whether they were successful in improving engagement and CX. You will also discuss the viability and feasibility of the solutions.

7. Appendix (excluded from the 3000 words)

The appendix contains references (RMIT Harvard Style). It should contain anything you could not fit in the 3000 words. Explain your research, ideation and prototyping process. Explain what you did, in what order, why? In addition, provide evidence of your work in the CX Design process. This should include important information such as how many interviews you conducted, with information on who your interviewees are, survey respondent numbers, and questions in the survey. If you looked at online and social media, you should detail the specific forums and social media you consulted. Your ideation processes should also be captured in your appendix. Your goal is to provide a clear sense of what you did and how you did it. Remember to engage in triangulation (using multiple sources of data). You can use the appendix to convey how you have achieved this.

Referencing Guidelines Use RMIT Harvard referencing style for this assessment. You must acknowledge all the sources of information you have used in your assessments.

Refer to the RMIT Easy Cite referencing tool to see examples and tips on how to reference in the appropriate style. You can also refer to the library referencing page for more tools such as EndNote, referencing tutorials and referencing guides for printing.

Submission Format Submit your video presentation and report as file uploads in Canvas.

Academic Integrity And Plagiarism Academic integrity is about honest presentation of your academic work. It means acknowledging the work of others while developing your own insights, knowledge and ideas.

You should take extreme care that you have:

Acknowledged words, data, diagrams, models, frameworks and/or ideas of others you have quoted (i.e. directly copied, summarised, paraphrased, discussed or mentioned in your assessment through the appropriate referencing methods) Provided a reference list of the publication details so your reader can locate the source if necessary. This includes material taken from Internet sites If you do not acknowledge the sources of your material, you may be accused of plagiarism because you have passed off the work and ideas of another person without appropriate referencing, as if they were your own.

RMIT University treats plagiarism as a very serious offence constituting misconduct.

Plagiarism covers a variety of inappropriate behaviours, including:

Failure to properly document a source Copyright material from the internet or databases Collusion between students For further information on our policies and procedures, please refer to the University website.

Assessment Declaration When you submit work electronically, you agree to the assessment declaration

MKT363 Tutor-Marked Assignment 

This assignment is worth 20% of the final mark for MKT363 Services Marketing.

Note to Students:

Compose your report using Microsoft Office Word, and save either as .doc or .docx (preferred).

You are to include the following particulars in your submission: Course Code, Title of the TMA, SUSS PI No., Your Name, and Submission Date.

Question 1

Apply the non-ownership concept to justify why the selected offering is a service rather than a good.

(10 marks)

Question 2

From Google Reviews, identify one common service issue (the same issue must be mentioned by at least three different customers). Using the Three Stage Model of Service Consumption, analyse how this issue affects the different consumption stages.

(60 marks)

Question 3

Based on your previous analysis, develop ways this service provider can improve.

(30 marks)

(Note: Your analysis must be based on the review evidence, not assumptions. Include photos or screenshots in the appendix where applicable)

MKT363 TMA Marking Rubrics

Criteria	Does not meet expectations	Partially meet expectations	Meets expectations	Exceeds expectations	Greatly exceeds expectations
Efforts in Analysis and Discussion of the Service Marketing Scenarios (70%)	-Analysis and proposals are vague or lack relevance to service satisfaction. -Little to no application of the “Three Stage Model of Service Consumption”	-Analysis and proposals lack a clear link to service satisfaction. -Limited application of “Three Stage Model of Service Consumption”	-Analysis and proposals show a reasonable connection to enhancing service satisfaction. -Application of “Three Stage Model of Service Consumption” is evident.	-Analysis and proposals are clearly linked to service satisfaction and demonstrate thoughtful consideration. -Strong application of “Three Stage Model of Service Consumption” in the proposals.	-Analysis and proposals are highly relevant, feasible, and demonstrate a strong potential to increase service satisfaction. -Outstanding application of “Three Stage Model of Service Consumption”
Problem Solving and Critical Thinking Implementation (10%)	-Unable to identify any claims OR can only identify one claim. -Does not have supporting or opposing arguments, or they are weak/irrelevant.	-Able to identify multiple claims; however, relations between claims are not established.	-Able to identify multiple claims and logical relations. -However, the logical relations are not well established for an overall logically coherent essay to be formed.	-Able to identify multiple claims and logical relations, integrating the points into an overall logically coherent essay. -Has supporting or opposing arguments which are relevant.	-Able to identify multiple claims and logical relations, integrating the points into an overall logically coherent essay. -Has supporting or opposing arguments which are relevant and well-supported