Reference no: EM133209732 , Length: 10 pages
Assignment: Data Analytics
Purpose:
The purpose of this task is to provide students with practical experience 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 visualisation and predictive solutions for various analytics
Project Details
The aim is to use the data set (You have the liberty to choose data set) to provide interesting insights, trends and patterns amongst the data. Your intended audience is the CEO and middle management who are responsible for overseeing the industry in Malaysia.
Task 1- Background information
Write a description of the choosen 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. Information must come from at least 2 appropriate sources [1page]
Task 2 - Reporting / Dashboards
For your project, perform the relevant data analysis tasks and identify the visualization you need to develop.
Task 3 - 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; 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). [1 to 2 pages]
Task 4 - 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. [1 to 2 pages]
Task 5 - Executive Summary
Summary of the data analysis including a brief introduction, methods used and a list of the key findings [1 page]
Attachment:- Data Analytics.rar