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DataCamp

Case Study: Analyzing Customer Churn in Power BI

via DataCamp

Overview

You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.

Are you ready to apply your Power BI skills to a real-world dataset? For subscription-based businesses, reducing customer churn is a top priority. In this Power BI case study, you'll investigate a dataset from an example telecom company called Databel and analyze their churn rates. Analyzing churn doesn’t just mean knowing what the churn rate is: it’s also about figuring out why customers are churning at the rate they are, and how to reduce churn. You'll answer these questions by creating measures and calculated columns, while simultaneously creating eye-catching report pages.

Syllabus

  • Exploratory Analysis
    • In this first chapter, you'll start exploring the new dataset and revisit creating measures in Power BI to get a better understanding of why customers are churning.
  • Investigating Churn Patterns
    • You'll continue by leveraging the Power BI knowledge you gained from the prerequisite courses to further investigate why customers are leaving Databel.
  • Visualizing your Analysis
    • In the last chapter, you'll create dashboard-style pages and arrange them into stories, so that you can share your results with stakeholders.

Taught by

Iason Prassides

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