Bank Churn Analysis Dashboard | Power BI

Summary:

Built an interactive Power BI dashboard to analyze customer attrition across 10,000 banking customers. Identified key churn drivers, including age group, credit score, geography, product ownership, and engagement behavior. Enabled risk segmentation and data-driven retention strategy.

Key Impact:

* Identified 20.37% churn rate

* High churn in 41–60 age segment

* Higher attrition in low credit score bands

* Inactive customers showed elevated churn risk

Tools: Power BI | DAX | Data Modeling | KPI Analytics