Case Study: Analyzing Customer Churn in Tableau


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.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Case Study: Analyzing Customer Churn in Tableau are most similar to the requirements found in Business Analyst job advertisements.

Similarity Scores (Out of 100)