Business Analytics Project Management

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Page 1 Kaplan Business School Assessment Outline
Assessment 2 Information

Subject Code: DATA4600
Subject Name: Business Analytics Project Management
Assessment Title: Group Project Simulation: Project Risk Management Methods
Assessment Type: In class activity and presentation
Word Count: 500 Words (+/-10%)
Weighting: 30 %
Total Marks: 30
Submission: In Class
Due Date: Week 10 in class

Assessment Description
Business Problem: Artificial Intelligence and fashion at BIG W
Artificial Intelligence (AI) and analytics has been used to help a number of stakeholders in the
fashion industry. For example, designers have used AI to create clothing designs, types of fabrics
and the patterns on those fabrics. AI is being used in the fashion supply chain and analytics for
predicting demand, customization and improved customer service. AI can also work from photos
and make sure an item fits the customer even when buying items online.
Your project team (business lead, fashion designer with marketing analytics experience, risk
analytics officer and the AI specialist have been asked to work together on a project which will use
analytics techniques to create new clothing designs to be sold at BIG W. There are some concerns
though. Some fashion designers think AI will create the same sort of items rather than something
as original as the human mind could create. Others think that the project is risky because BIG W
shoppers want ordinary (every day) clothing rather than anything else. Given these concerns, your
team may need to perform preliminary analytics in order to work out what customers expect from
BIG W.
Sources:
https://builtin.com/artificial-intelligence/ai-fashion


The meeting simulation is essentially about convincing one of the executives from BIG W that this
project is worth funding and running.
Your project management team roles are
A. Business lead (understands management styles)
B. Fashion designer with marketing analytics experience (understands the fashion Industry)
C. Risk Analytics officer (understands predictive project analytics)
D. Artificial Intelligence specialist (understands the benefits of AI in fashion and design)

Page 2 Kaplan Business School Assessment Outline
Today your team have been invited to the first of many stakeholder meetings. The meeting
includes an important stakeholder:
E. Executive of BIG W (understands business strategy and funding of projects)
This covers LO1 and LO2
Assessment Task
You will create groups of five (5)
You are going to participate in a simulation of a “Stakeholder Management Meeting” where a
team undertaking the above project need to:
o justify the analytics project in a general sense and explain and general style in which
the project will be managed (Waterfall, Scrum, Kanban, Github or other)
o explain aspects of the fashion industry and what data you will obtain from customers of
BIG W
o describe how you will use predictive project analytics to examine the risk of the project
o explain the benefit of AI in fashion
You will present it to the company executive and address his/her concerns.
Part A: Identifying Issues (10 Marks)
In your group of five (5) you will be given 40 minutes to discuss and write dot points on the
project.
As a group make a dot point list of the points you will discuss (from above) and stakeholder
concerns in Microsoft word and submit to Turnitin on MyKBS by the end of the time
It does not need to be longer than 400-500 words
One group member needs to submit and write the other group member’s names on the
submission.

Page 3 Kaplan Business School Assessment Outline
Part B: Meeting Simulation (20 Marks)
Groups will then be given 20 minutes to develop a (10-minute) script based on their dot
points of a meeting between the project managers and stakeholders
You will ACT THIS OUT in an 8 to 10-minute interaction
Please be as dramatic and realistic in your roles as possible, and try your best to convey the
main points addressing the above issues
You can divide the tasks as you wish, although they will naturally fit better with some
members than others
Have fun with it! (The executive could be demanding)
Important Study Information
Academic Integrity Policy
KBS values academic integrity. All students must understand the meaning and consequences
of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct
Policy.
What is academic integrity and misconduct?
What are the penalties for academic misconduct?
What are the late penalties?
How can I appeal my grade?
Click here for answers to these questions:
http://www.kbs.edu.au/current-students/student-policies/.
Word Limits for Written Assessments
Submissions that exceed the word limit by more than 10% will cease to be marked from the point
at which that limit is exceeded.
Study Assistance
Students may seek study assistance from their local Academic Learning Advisor or refer to the
resources on the MyKBS Academic Success Centre page. Click
here for this information
Page 4 Kaplan Business School Assessment Outline
Assessment Marking Guide

DATA4600
Assessment 2
Rubric
/30
Has demonstrated limited achievement: Has achieved all or most of:
Dot points
0-4 5-10 /10
Mostly irrelevant notes
No or little connection of project tasks
Little or no integration
Project tasks not clear
Excellent and engaging notes clearly
connecting business case to
workshop content & possibly extra
research
Excellent and novel integration of
theory & case study
Project tasks clear in notes
4 2 4
Presentation
0-9 10-20 /20
The roles are not relevant to the
content presented
Presentation was disorganised
Pronunciation and clarity of the
speakers was poor
The meeting was not realistic
The presentation not original
The management style chosen was
not clear
The purpose of the predictive project
analytics was not clear
The roles were relevant to the content
presented
Presentation had good structure
Pronunciation and clarity of the
speakers was accurate and excellent
The meeting was realistic in terms of
tensions and flow
The presentation was original
The management style chosen was
clear
The purpose of the predictive project
analytics was clear
4 3 2 3 3 3 2

Page 5 Kaplan Business School Assessment Outline
Assignment Submission
Students must submit their group work in class
Dot points must be in Microsoft word file to avoid any technical issues that may occur
from incorrect file format upload. Uploaded files with a virus will not be considered as a
legitimate submission. Turnitin will notify you if there is any issue with the submitted file. In
this case, you must contact your lecturer via email and provide a brief description of the
issue and a screen shot of the Turnitin error message.
If you are unable to complete this assessment by the due date/time, please refer to the
Special Consideration Application Form, which is available at the end of the KBS
Assessment Policy:
https://www.kbs.edu.au/wp-content/uploads/2016/07/KBS_FORM_AssessmentPolicy_MAR2018_FA.pdf