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.

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 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.

• 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).[1 to 2 pages]

• 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 themain findings

Read less