Telecom Churn Analysis
🚀 Telecom Customer Churn Analysis Dashboard | Power BI Project
I recently built a multi-page Power BI dashboard focused on analyzing customer churn in the telecom industry. The goal was to identify churn patterns, understand customer behavior, and provide actionable insights to improve retention.
🔍 Project Overview
The dashboard is designed with a structured approach, allowing users to explore churn across different dimensions such as customer profile, service usage, and behavioral patterns.
📊 Dashboard Highlights
👉 Overview Page
7,043 total customers with ~2,000 churned
Key metrics like average monthly charges and tenure
Insights into dominant contract types, internet services, and payment methods
👉 Churn Analysis
Higher churn observed in monthly contracts
Fiber optic users show higher churn compared to DSL
Electronic check users tend to churn more
👉 Churn by Services
Customers without online security and tech support show higher churn
Value-added services play a key role in retention
👉 Usage Analysis
Detailed customer-level data with filters for deeper exploration
Helps identify high-risk customer segments
⚙️ Technical Approach
Built using Power BI with a structured data model
Created DAX measures for KPIs like churn count, tenure, and average charges
Designed interactive visuals with multi-page navigation
💡 Key Takeaway
Customer churn is strongly influenced by service quality, contract type, and additional service adoption. Providing better support services and flexible plans can significantly improve retention.
