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Are you ready to apply your Tableau skills to a real-world dataset? For subscription-based businesses, reducing customer churn is a top priority. In this Tableau 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 calculated fields and various visualizations in Tableau, such as dual-axis graphs and scatter plots. You'll make your graphs dynamic by using filters and parameters, and combine everything into a story to share your insights.
In this first chapter, you'll start exploring the new dataset and revisit creating calculated fields in Tableau to get a better understanding of why customers are churning.
Investigating churn patterns
You'll continue by leveraging the Tableau 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 Tableau interactive dashboards and arrange them into stories, so that you can share your results with stakeholders.
Head of BI Curriculum at DataCamp
Carl, a Tableau certified data analyst, is the head of the BI Curriculum at DataCamp, where he focuses on democratizing data skills through Business Intelligence tools. He holds a double master's degree in Business Engineering and worked in various analyst roles at an e-commerce company before joining DataCamp. He likes to use data to make the complex simple and tell data stories. Outside work, you can often find him enjoying a game of soccer, both on and off the pitch.