Telecom Churn Analysis

MohamadJavith — Thu, 30 Apr 2026 12:54:54 GMT

🚀 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.

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Telecom Churn Analysis