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Case Study #1
Problem Statement: You are a Senior Data Analyst with Yarnger, a global Retail organization. You’ve been asked to create a high-level, interactive, Weekly Review dashboard for a retail business. You have been provided with sales data, and you have completed all the clean-up and enrichment in the previous module. You’re now ready to create the visualizations and views that are interactive, insightful and useful.
Case Study #2
Problem Statement: Churn of banking customers is the biggest talk at corporate offices of any banking and financial company in the world. You work directly with the managing director of a leading consumer bank of Europe, and you lead an actuarial team of twenty people working on consumer data. Your team member Ajay sent you an email with the data of 8000 customers with their unique identification as ‘customerId’ and many more details that need your attention. The Managing Director has asked about loss of customer accounts in some countries and the reasons behind them. Although, Ajay has been able to isolate the country wise data of branches losing customers, however, he hasn’t been able to do narrow down to the reason of loss from that data. When you looked at the data you found that even the data needs to be verified by the Azure server. Now the MD has asked Ajay to share a one-page analysis within 24 hours with him about the possible reasons for the churn. Due to time constraint, you have taken it upon yourself to do the analysis and understand the data from Ajay.