🚀 Power BI Project: Telco Customer Churn Analysis

🔹 Business Problem

Telecom companies face high customer churn, leading to lost revenue and profitability challenges. This project focused on building a Power BI dashboard to uncover churn drivers and support data-driven retention strategies.

🔹 Key Metrics & Insights

Total Customers, Churned Customers, Churn Rate %

Revenue & Lost Revenue from churned customers

Tenure Buckets to analyze customer loyalty patterns

Customer breakdown by Contract Type, Payment Method, and Services used

🔹 Visual Storytelling

KPI Cards for quick executive overview (Customers, Revenue, Churn %)

Bar & Pie Charts to analyze churn by demographics and service usage

Line Chart for churn trend across tenure buckets

Treemap & Scatter Plot to identify churn drivers and high-risk customer groups

🔹 Narrative & Business Impact

The dashboard revealed that month-to-month contracts and electronic check payments had the highest churn rates, while customers with longer tenure and tech support were more loyal.

👉 Business Actions: Introduce loyalty programs, optimize contract structures, and improve support services to reduce churn and protect revenue.

📊 Impact: Delivered clear visibility into churn drivers, enabling proactive decision-making, better customer retention, and improved profitability.