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Case Study: Analyzing Customer Churn in Tableau
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Korshub's take
The Korshub Take
This hands-on Tableau case study guides you through diagnosing customer attrition for telecom company Databel. By leveraging calculated fields, dual-axis graphs, scatter plots, interactive parameters, and Tableau Stories, you will transform raw customer data into an actionable narrative that explains why customers leave and how to keep them.
Who It\'s For
Tableau learners and data analysts who want practical experience building interactive visual stories around key SaaS and telecom retention metrics.
Key Takeaways
- Calculated Fields: Create custom calculation logic in Tableau to derive churn percentages, customer tenure, and service usage metrics.
- Advanced Charting: Build dual-axis charts and scatter plots to correlate pricing and support interactions with customer churn.
- Dynamic Interactivity: Implement interactive filters and parameters to allow users to drill down into specific customer segments.
- Tableau Storytelling: Assemble visualizations into a cohesive Tableau Story to present clear findings to stakeholders.
About this course
Are you ready to apply your Tableau skills to a real-world dataset?
Apply your Tableau skills with a Case Study
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.Understand why customers churn
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.Advertisement