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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.
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.
In the following tracksData Analyst
Content Developer at DataCamp
Iason holds a Master’s degree in Chemistry from UCL and is now a Content Developer at DataCamp. He is also a certified Power BI data analyst. Prior to working at DataCamp, Iason held a number of analytics roles within a range of industries across different countries. Having a passion for education, data, and storytelling, he has found a great place at DataCamp to develop engaging content for learning. As an avid sports fan, he has a keen interest in sports statistics.