ACF5320 – Semester 1, 2025 – Assignment 4 | 1

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ASSESSMENT TASK: Assignment 4

WEIGHTING: 30%

COMPLETION: Group

GENERATIVE AI: Generative AI tools can be used in this assessment task

In this assessment task, you can use generative artificial intelligence (AI) to assist you in any way. Any

use of generative AI must be appropriately acknowledged (see Learn HQ).

DUE DATE: 11:55pm, Friday 30 May, 2025

OVERVIEW

This assignment is designed as a collaborative group project. It aims to develop key transferable skills

through the simulation of a real-world business environment, where you must navigate the complexities of

data-driven decision-making within a corporate context. By engaging in the full spectrum of data analytics

– from sourcing and processing data to developing insights and making business recommendations – you

will experience hands-on learning that prepares you for professional challenges.

OBJECTIVES

• Demonstrate Effective Teamwork and Communication.

• Apply Data Sourcing and Analytical Techniques.

• Develop Visual Dashboards Based on The Data Analysis.

• Evaluate And Synthesize Strategic Decisions.

• Communicate Analytical Findings Effectively.

GROUP FORMATION AND TASK ALLOCATION

This assignment must be completed in groups. Group work, allocation of tasks to team members,

managing group project progress, and working together to solve problems and achieve goals are key

transferrable skills that are in increased demand in the workforce.

The group size is four (4) students. Exceptions will only be made in extraordinary circumstances.

Groups must be finalised by the end of Week 10. It is your responsibility to find your own group.

Failure to find a group will result in receiving a ZERO (0) on this assessment task. Please use the

provided Google Sheet (on Moodle) and the forums to help find group members.

You should already be in an assignment group and know who you are working with. Within each

assignment group, it is expected that each group member will actively contribute to the project and be

involved throughout the project. Any groups who are experiencing issues or have concerns about the

effective operation of their group should contact the Chief Examiner as soon as possible.

ACF5320

Assignment 4

ACF5320 – Semester 1, 2025 – Assignment 4 | 2

Within your group you should:

 Ensure that each group member has contact details (for example, email address) of all others in

the group.

 Your group has agreed on how communication will occur during the process of completing the

assignment.

 Once the assignment task is released, you should:

 Hold an initial group meeting to familiarise yourself with the requirements of the task.

 Plan a timeline for project completion.

 Allocate responsibilities to group members.

 Meet at least three times to check progress, share ideas, ask questions, monitor project

progress.

 Share your work and progress with your group members.

 Keep in contact with your group members.

 All group members should individually submit a Peer Review Form on Moodle (no need to hand

in personally) before the assessment due date, along with other submission documents. You may

use the template available at the following link:

https://www.monash.edu/__data/assets/pdf_file/0004/512932/peer-review-form.pdf

Submit this form via Moodle with the following file name:

PeerReviewForm_Yourlastname_YourStudentID

This form will be used for evaluating the equal contribution of each team member.

TASK DESCRIPTION

This is a team project. The project must be completed by the team members without outside assistance.

Your team may seek assistance from friends and colleagues to identify data sources and collect the data

needed for the project (Requirement 1), but the other requirements must be completed only by team

members.

For the team project, the only directions provided are the requirements below. This is entirely your own

work, and the Teaching Team cannot solve any problems or tell you what to analyse or what your team’s

decisions should be. Use this as an opportunity to analyse something that interests your team and allows

you to demonstrate your data analysis skills.

TASK REQUIREMENTS

1. Find and extract your data. The data should be relevant to some type of business decision.

Your team is responsible for your own data discovery process. Research data sources that

interest your team members and select a data set. The dataset should be of substantial size and

complexity to facilitate a comprehensive analysis. You need to document the source(s) of your

data (with a direct weblink to the dataset built into your slides) and explain how the data were

collected. After extracting your data, you should complete a data transformation process (e.g.,

profile, filter, clean and restructure). Briefly document this process. Document any columns or

measures that you create. For each column and measure, explain its purpose. Please note, that

the datasets used in any tutorials and assignments in this unit, cannot be used in this

assignment. Note, there are endless sources of freely available online data. There are also many

articles that describe free data sources. For example, this is an article from Forbes:

https://www.forbes.com/sites/bernardmarr/2018/02/26/big-data-and-ai-30-amazing-and-free-

ACF5320 – Semester 1, 2025 – Assignment 4 | 3

public-data-sources-for-2018/#43a35e545f8a).

We also expect that the chances of two groups working on the same dataset to be very low. In

fact, we highly discourage using the same datasets by different teams unless by pure

coincidence.

2. Use Power BI to create dashboards and analyse your data. You may use Excel to create any

visuals that you cannot create with power BI.

3. Recommend decisions based upon your comprehensive analyses in a video presentation.

Assume that the Teaching Team is a senior executive team at your firm. You need to convince

the Teaching Team that your recommended decisions are appropriate and that we should follow

your advice. You need to accomplish this with well-crafted visualisations that follow the principles

of good visualisation design. Tell your story with visualizations such that the Teaching Team can

understand the data and your recommendations by quickly reviewing the visuals. Be convincing.

The Teaching Team should be able to easily understand your story and your data. Your video

should be around 20 minutes (+/- 2 minutes), with each group member speaking for

around 5 minutes each. Reference lists and acknowledgments should be included on the end

slide, and they will not count against your presentation time.

Failure to adhere to the video length or individual speaking time requirements will result in a

10% penalty on this assessment.

SUBMISSION REQUIREMENTS

1. Submit a video that documents the IMPACT Cycle and explains your recommendations in a

video file (I recommend using Panopto or Zoom). Include all of the most important visualisations

that support your recommendations with this video. When we read this document and look at the

visuals, the Teaching Team should be convinced that you have done a thorough analysis and

have made great recommendations. Name this file as follows:

A4Video_Firstname_Lastname_StudentID (Note: include last names and Student IDs for all

members of the group separated by “+”)

2. Submit a copy of your PowerPoint (or similar) slides used in your presentation. Name this file as follows:

A4PPT_Firstname_Lastname_StudentID (Note: include last names and Student IDs for all

members of the group separated by “+”)

Note: Each group will submit the above components as a group. Only one student is required to submit

the files on behalf of the group.

All group members will receive the same result for the group task, unless there is evidence of unequal

contribution. If unequal contribution is detected, then the marks for each group member may be adjusted

to reflect the different levels of effort.

Any concerns about group member involvement should be raised with the Chief Examiner as soon as

possible.

ACF5320 – Semester 1, 2025 – Assignment 4 | 4

No Pass Pass Credit Distinction High Distinction Unscaled Marks 0 2.5 3 3.75 5 Documentation of IMPACT Cycle (20%) The IMPACT Cycle was not followed. IMPACT Cycle is mentioned, but

most steps are not described in

adequate detail. IMPACT Cycle

is partially

documented. Some steps are too

vague or brief to be considered

meaningfully described. IMPACT Cycle documented, but some steps are

missing details or are not adequately described. IMPACT Cycle is fully and

accurately documented. An end

user can fully understand how the

analysis was conducted, what the

main outcomes were, and how

those outcomes will be tracked in

the future. Data Analysis: This section involves

answering all the questions posed at

the start of the IMPACT Cycle, as well as

all the visualizations that were created

to answer the questions.

Visualizations will be graded based on

their presentation in the submitted

video report. (40%) Did not meet criterion.

Significant errors are present. The questions posed are fairly trivial.

Visualizations are confusing or were

not created. Significant errors are present. The questions posed are somewhat

trvial or uninteresting. Visualizations present the correct

information, but do not communicate

the information clearly. Minor errors are present. The questions posed are interesting, but could

have been more detailed or specific. The

justification for studying these questions

explained, but could have been done in a clearer

way. Visualizations communicate the desired

information, but could have been clearer. No errors are present in the

analysis. The questions posed are interesting

and the reason for exploring them is

well-justified. Visualizations clearly communicate

the desired information. Data Interpretation: This section

interpreting the results from the data

analysis. Interpretation will be graded based on

the submitted video report. (40%) Did not meet criterion.

The video report is missing sections,

such as the introduction or

conclusion. Significant errors are present,

resulting in most visualizations either

being excluded from the report or

being described incorrectly. Conclusions drawn from the data

are either incorrect or confusing. The video report includes all necesary

sections. The introduction is present,

but does not lay out what will be

covered in the report in a clear way. Significant errors are present, but most

visualizations are included in the report

and described adequately. Conclusions drawn from the data are

correct, but lack detail or don't tie the

data to the problem that needs to be

answered. The video report includes all necessary sections.

The introduction is clear. Minor errors are present,but all visualizations are

included in the report and described in detail. Conclusions drawn from the data are accurate

and are their relevance for addressing the

problem at hand is understood, although the

reasoning may be slightly lacking or ambiguous. The video report includes all

necessary sections. The

introduction is clear. All visualizations are included in the

report, and are accurately

described in straightforward and

concise language. Conclusions drawn from the data

are accurate, and

what the data

tells us about how to solve the

problem at hand is laid out in a

clear, precise, and well-reasoned

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