Subject Code : BUS4022
Assignment Task -                 
 

 

Assignment Overview

 

The objective of the assignment is to help provide you and your team with a holistic overview of the end to end analysis process when it comes to answering key business questions. 

The assignment is meant to simulate a real world data analysts’ role which entails a number of steps: use of a programming language to read in, prepare and manipulate the data, creating the analytical file, analyzing the data on the analytical file, drawing conclusions and insights, visualizing, interpreting and finally, presenting the results and findings.

 

Background

You and your data consulting team have been hired by the CEO of a retail company (ABC Inc.) planning to branch into the Canadian market.

They mainly specialize in kids’ apparel, educational toys and books. However, they would also like their store to have an entertainment section that would cater to organizing parties, and other kids’ related events. The age groups they want to focus on are 0 to 4 years, 5 to 9 years, and 10 to 14 years old.

They are also thinking of opening a separate service for 15 to 19 year olds that would cater to offering them mobile cell phone options. However they are not sure if they should make that service available as an online option or sell that in store as well?

They would like to enter the market with an initial opening of 10 store locations across Canada.

 

Business Objective

You have been hired to help analyze some of the Census Canada data to understand what locations (Provinces & Cities i.e. Census Metropolitan Areas) should the company focus on to open their first 10 stores that would tailor to the needs of 0 to 14 year olds? As well as assess the potential of opening an instore or online mobile phone service just for the 15 to 19 year olds.

 

 

High level steps in the analysis process

1. Understand the business objectives. What information is required?

2. Import each of the data files into SAS and then assess them

3. Think of all the preparation steps you need to take to structure your analytical file to answer the questions & Think of any assumptions or data limitations there might be.

4. Create your analytical file based on steps hashed out in #3

5. Plan out the steps you are going to take to analyze the data in your analytical file in order to answer the questions in #1

6. What insights can you gather from all the analysis?

7. How will you present and interpret the results?

8. Finally how do you want to present the information in the power point deck? (Sticking with simple visualizations and language is key. Stay away from 3D charts, pie charts and gauges). Think about what do you want the audience to take away from your presentation?

 

 

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  • Posted on : December 09th, 2018
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