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
way.

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