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Case Study

Bank Churn Analysis

Industry

Finance / Banking

Client

Retail Bank

Bank Churn Analysis

The Problem

A retail bank needed to identify why valuable customers were leaving and which specific individuals were at the highest risk of churn to implement targeted retention strategies.

The Solution

I developed a three-section Power BI dashboard providing a high-level overview of churn metrics, a key influencers module to pinpoint statistical drivers, and a risk-assessment table for individual customer tracking.

Live Interactive Dashboard

Key Results

  • Identified key drivers of churn including product count (2-3 products) and specific credit score thresholds.
  • Highlighted high-risk customer segments for immediate personalized retention campaigns.
  • Improved overall customer loyalty by providing actionable data for proactive support intervention.
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