Write a Data Analytical Report to Provide Useful Insights - Report Writing - IT Assignment Help

Assignment Task

Overview
The purpose of this task 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 BANK_CUSTOMERS in the light of guided questions asked within this document. This dataset is located in SAS Viya archives of datasets. 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
You will use an analytical tool (i.e SAS Visual Analytics) to explore, analyse and visualize the dataset provided [Appendix 1: Guided Questions on page 6]. An important part of this work is preparing a good quality report, which details your choices, content, and analysis, and is of an appropriate 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 the Multinational Retail Company, who are responsible for overseeing the retails industry worldwide.

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 be appropriately referenced.

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.
Note: remove any missing data points from your visualizations where possible/suitable

Task 3 – Additional Visualizations - In addition to the guided questions, it is expected that student will provide at least two other visualizations of the data. 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.

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.

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