Reference no: EM132625466

ITECH1103 Big Data and Analytics - Federation University

Analytic Report: Learning Outcomes

Purpose: The purpose of this Part is to provide students with practical experience in working in teams to write a data analytical report to provide useful insights, pattern 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 Part 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 on working on the project.

Assessment Tasks

Part 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]

Part 2 - Reporting / Dashboards - For your project, perform the relevant data analysis Parts by answering the guided Problems provided (see Appendix for Problems and dataset) and, identify the visualization you need to develop.
Note: remove any missing data points from your visualizations where possible/suitable

Part 3 - Additional Visualizations - In addition to the guided Problems, 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 complexity of analysis. These visualizations should be using multi-dimensional, filtering and advance calculation techniques.

Part 4 - Justification -Justify why these visualizations are chosen in Part 2 and 3. Note: To ensure that you discuss this Part 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 Part 2 (i.e. the report to the operational team of the company).[1 to 2 pages]

Part 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. [3 to 4 pages]

Part 6 - Executive Summary - summary of the data analysis including a brief introduction, methods used and a list of the key findings [1 page only]

Part 7 - The Reflection (Individual Part) - each team member is expected to write a brief reflection about this project in terms of challenges, learning and contribution. [1 to 2 pages]