(Power BI) Customer Churn Analysis

This project is about gaining deeper insights into the dynamics of customer behavior. Throughout this journey, I had the opportunity to:

Explore: Delve into a rich dataset, understanding its nuances.

Analyze: Uncover patterns and trends that drive customer decisions.

Visualize: Create a compelling dashboard that brings data to life.

Key Insights:

Competitor Influence: A significant factor for customer churn is the influence of competitors and their attractive offers.

Contract Duration: Customers with monthly contracts tend to churn more frequently compared to those with yearly contracts.

Regional Impact: California has the highest rate of customer churn, primarily due to inadequate problem resolution and repeated customer callbacks in customer service.

Customer Segmentation: Group customers exhibit a lower tendency to churn compared to other segments.

A Walk-through of the Dashboard: Experience the functionality and design of the Power BI dashboard I developed.

Insightful Visualizations: See how data can be transformed into visually appealing and informative charts and graphs.

Key Findings: Understand the significant insights from the analysis, such as the impact of competitors' offers, differences in churn rates between contract types, regional churn trends, and the behavior of different customer segments.