Big Data And Analytics

ITECH1103- Big Data And Analytics

Group Assignment 

Purpose: The purpose of this task is to provide students with practical experience in working in teams to write a data analysis report to provide useful insights, patterns, and trends in the chosen/given dataset. This activity will give students the opportunity to show innovation and creativity in applying SAS Analytics, and designing useful visualization and predictive solutions for various analytics problems.

Project Details:

This is a group assignment and you will complete the task with your team. Your team will be made up of at most 3 members who are all enrolled in the same laboratory – the teams will be allocated by your tutor. It is expected that each team member will contribute equally to the project.

Your team will use SAS Visual Analytics to explore, analyze and visualize the dataset provided. You will receive feedback on the draft about presentation choices, content, analysis, and style.

The aim is to use the data set allocated to provide interesting insights, trends and patterns amongst the data. Your intended audience is the CEO and middle management of a Retail Company.

In addition, each individual team member will write a short reflection as part of the report on their individual experience of working on the project.

Tasks

•Task 1- Background information - Write a description of the dataset and project, and its importance for the organization. Discuss the main benefits of using visual analytics to explore big data. In this you should include a justification for using the visualizations that you will use and how they have been successful in other similar projects. This discussion should be suitable for a general audience. Information must come from at least 6 appropriate sources (2 per student) be appropriately referenced. [2 to 3 pages]

•Task 2 – Reporting / Dashboards - For your project, perform the relevant data analysis tasks by answering the guided questions provided (see Appendix for questions and dataset) and, identify the visualization you need to develop.

•Task 3 – Additional Visualizations - In addition to the guided questions, it is expected that each student will provide at least two other visualizations of the data (i.e. for a group of 3 students this is 6 extra visualizations). These additional visualizations will be judged in terms of quality of the findings and the complexity of analysis. These visualizations should be using multi-dimensional, filtering and advanced calculation techniques.

•Task 4 – Justification -Justify why these visualizations are chosen in Task 2 and 3. Note: To ensure that you discuss this task properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use ‘Snipping tool’), and also include any assumptions that you may have made about the analysis in your Task 2 (i.e. the report to the operational team of the company)

•Task 5 – Discussion of findings – using the visualizations created discuss the findings from the data set. In this discussion, you should explain what each visualization shows. Then summarize the main findings.

•Task 6 – Executive Summary – summary of the data analysis including a brief introduction, methods used and a list of the key findings

•Task 7 - The Reflection (Individual Task) - each team member is expected to write a brief reflection about this project in terms of challenges, learning and contribution.

• Report Submission:

Each member of the group is to submit an electronic copy of the completed group assignment and their own individual reflection via Moodle.

The report will be approximately 8 to 12 pages in length (not counting cover page and references). The report will include the following in the order provided below:

•A cover page including the names and student id of all team members

•Table of Contents

•Table of Figures / Tables

•Executive Summary

•Background

•The body of the report including reports, insights, justifications and visuals

•Discussion of findings

•Conclusion

•References

•Appendices

All references used in your report must be from peer-reviewed sources. Include any and all sources of information including any person(s) you interviewed for this project.

ITECH1103- Big Data and Analytics - Assignment 2- Data Analysis-

Report Marking Guide

                   Tasks                                                                       Marks

1 – Background of the Project: Description of Project,                  10
Datasets and organization. The importance of the project for the
organization. Benefits and examples provided for the use of
data visualisation using peer-reviewed sources.

2 - Dashboard/Reports utilization of appropriate data analysis   30
tools, visualizations and dashboards developed for the report

3 - Additional Visualizations The quality and complexity of   10
additional visualizations provided other than the guided
questions.

4 - Justification - Each analysis/dashboard and report                     5
explanation with relevant research papers, complexity and in-
depth of the justification.

5 – Discussion of findings - Key data insights,                           15
recommendations to achieve organizational objectives with
theoretical justifications with proper references.

6- Executive summary - Format, key findings and                   10
recommendation

7 – The Reflection (Individual Task)                                           10

Presentation of Report - Report is well-written and presented   10
professionally, containing all requirements

Guided Questions

GROUP TASK: Guided questions to identify the visualizations you need to develop.

1. Create a data dictionary for the data source by the group.

2. How many Customers are in the database?

3. What are the top 10 Customers with respect to all countries?

4. What are the top 10 Countries with respect to Total Revenue?

5. What are the top 10 Customers from Australia in terms of Total Revenue?

6. What are the top 5 days with respect to most numbers of orders placed by the customers?

7. What are the top 3 and bottom 3 customers in terms of the quantity ordered?

8. Which customer type is most and least popular in terms of the quantity ordered?

9. What are the top 5 countries with respect to each customer type?

10. What is the quantity ordered by the customer type and continent name?

11. What is the number of customers with the same title?

12. What is the min and max days to deliver in each city?

13. What are the most appropriate predictors of the quantity ordered? Hint- use decision tree

14. Create a map of the customer countries?

15. Create a cluster analysis on customer type related data.

16. What are the days for delivery for each customer type in each continent?

17. For the above question, what are the top 3 customer types in terms of days to delivery?

18. Draw a bubble plot to show the number of orders with respect to days to delivery.

19. What is the correlation between quantity ordered, unit cost and discount in percent?

20. What is the quantity ordered with respect to customer type and unit cost?

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