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29 Aug

BUS5AP Analytics in PracticeBISY2005/ISY2005/ISY205 Enterprise… | Good Grade Guarantee!

BUS5AP Analytics in Practice
Semester 2 2019
Assignment 1
Problem formulation of analytical tasks
Background and Situation
Imagine1 that you are the business analytics advisor to the Lord Mayor of Melbourne, Sally Capp:
• First woman to be directly elected as Lord Mayor
• First woman to hold the post of Agent-General for Victoria in
the UK, Europe and Israel
• She has also served as the CEO for the Committee for
Melbourne and COO of the Victorian Chamber of Commerce
and Industry
• She began her career as a Solicitor, after completing Law (Hons)
and Commerce degrees at the University of Melbourne
• She has held senior roles at both KPMG and ANZ, and she took
the small business she co-founded to the ASX
• Most recently she was Victorian Executive Director of the
Property Council of Australia
Over the past few years, the City of Melbourne has gathered a significant amount of data and have
made it available to the public through an open data portal https://data.melbourne.vic.gov.au/.
This morning, you received the following email:
Dear Business Analytics Advisor,
Melbourne is one of the greatest cities in the world, and I intend to do everything I can to
keep (and improve) our reputation.
I had a constituent dinner last night – at the dinner, Stu Black (a Professor of Practice with La
Trobe Uni) was bending my ear about the potential of data to make significant
improvements to our city. He also complemented the Council on its open data portal
Our next election will be the 24th of October 2020. The conversation last night caused me to
reflect upon what we might be able to do with the data available on the open data portal
such that we are able to deliver some meaningful benefit to our community before the next
1 N.B. This is clearly a hypothetical case, as Lord Mayor Capp has not engaged with this group in any fashion, nor do we
assert that we will be able to engage with the Lord Mayor during this process. Please go ahead and “method act” for
the purpose of the learning opportunities of this assignment
election. After all, whilst I am pro-data, I can not guarantee that I will win the next election
– so I would like to make sure we deliver something within our term.
You are the data girl/guy, and you are a resident of our city. Can you please look through
our data sets and provide me with a high-impact implementable recommendation supported
by data?
My EA will schedule a meeting for us to discuss a fortnight from today. Can you please send
me a briefing note 24 hours before our meeting so that I can review and reflect in advance of
our meeting.
Looking forward to hearing your thoughts on the above
Your task is to prepare the briefing note and the underlying documentation. Please note, she is not
asking you to do the work, but rather to propose a scope of work to be undertaken if she agrees. As
you pull this together, please consider the following questions:
1. What exactly is the Lord Mayor asking you to do? (I.e., what is the scope of the assignment.)
Is she asking for insight, a plan, an implementation, or a combination of the above? What is
the deliverable(s)?
2. What constraints are you working to? What are the stated constraints, and what are the
implied constraints?
3. What assumptions do you need to make? Are these assumptions reasonable?
4. After reviewing the available data, what idea do you want to pitch? Why should the Lord
Mayor act upon your idea? What is the benefit and who receives the benefit? What are the
5. Express the problem above in an issue tree. Articulate the data and analysis required for
each relevant branch of the issue tree. Articulate the sub-deliverables as appropriate. State
any assumptions that you may have.
6. How do you make it easy for the Lord Mayor to say “yes”?
Please prepare a brief (500 – 1000 word) briefing note pitching the idea
In addition, please attach your issue tree as an appendix to the briefing note
Please use appropriate business English with appropriate checks on spelling and grammar
Please submit
a. in a single PDF
b. using a file name that includes your name and assignment number (for example
“StuBlack_BUS5AP_Assignment 1”)
c. with your name, assignment name and page numbers on each page
Marking rubric (total of 35 marks, equivalent to 35% of the final mark)
Criteria Grade
D (50% to < 60%)
C (60% to <69%)
B (70%% to
A (80% and
Briefing Note
Weak proposal,
addressing only a
portion of the
Moderate proposal,
albeit missing
significant portions
that significantly
reduce the impact of
the briefing note
Solid proposal,
meeting all key
Strong proposal,
demonstrating a
proposition and
addressing key issues.
Strong demonstration
of understanding of
how data will be used
to address an
opportunity of
significance and strong
demonstration of the
analytical techniques
Strong link between
the intended
outcomes of the
analytics and
actionable insights
Issue Tree
Some evidence of
developing an issue
tree, but not sufficient
Substantive issue tree,
but significant issues
Good issue tree, some
issues with MECE/ties
to analysis and data
Robust issue tree,
MECE, well structured,
good analysis and data
and Format
Significant gaps
relative to
expectations of a
business professional
Good draft, but
significant revision
Generally well written,
albeit needing some
revision prior to
providing to a senior
decision maker
Well written, ready to
submit to a senior
decision maker with
only limited edits


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