Saint Mary’s University Business Digital Analytics Worksheet

USE Tableu analysis the data!!

Instructions

Part 1 (85%) The length of the report should be no more than 2500 words excluding references and
appendices. Please pay attention to writing and referencing style.

Today many firms are sitting on large chunks of data, not knowing what to do with it. They invite consultants &
business analysts to have a look at data and come up with insights that could help the organization make better
business and marketing decisions. Such problems are mainly open-ended problems, and it is expected of the
analyst/consultant to do a lot of exploration first before analysing the problems and recommending solutions.

This assessment requires you to explore an open data set and come
up with insights that will aid business decision making. You are required to prepare a report based on your
findings which may be considered as briefing to the CMO who will use these insights for business decisions for
the firm. There are no right and wrong answer here, however there should be a clear logical story which should
come out of the analysis that support business decisions.
The report should demonstrate your understanding and application of the data visualization, insights for
decision making and the tool Tableau discussed in this module.

The report should include the following
elements

(Descriptive) Understanding the data

o What is important for the firm?

o What are the trends and patterns?

o Understanding these trends & patterns?

The report should have a professional layout and report style appropriate for business/executive readers,

writing is clear and to the point, logical/coherent arguments to support points and recommendations,

charts/figures/dashboards, and tables to help readers understand key points etc

Part 2 (15%) Individual reflection on your data visualization & Tableau earning experience during this module

1) What have you learned comparing before and after your exposure to data visualization & tableau
experience especially when it comes to practical decision-making using insights from data?

2) In retrospect, what would you have done differently to improve your learning experience