Optimize Customer Retention with Telecom Churn Analysis DashboardOptimize Customer Retention with Telecom Churn Analysis Dashboard
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šŸ“Š Telecom Churn Analysis Dashboard
šŸŽÆ Key Features
Customer Demographics Analysis: Gender distribution, age segments, and tenure patterns
Service Usage Insights: Internet types, contract preferences, and service adoption rates
Financial Metrics: Revenue analysis, monthly charges, and payment method preferences
Churn Prediction Indicators: Key risk factors and customer segmentation
šŸ“ˆ Dashboard Highlights
21,438 total customers analyzed
5,879 churned customers identified
$2.85M total monthly revenue tracked
Interactive visualizations with drill-down capabilities
Geographic distribution mapping
Service-wise performance metrics
šŸ› ļø Technologies Used
Power BI: Interactive dashboard creation and data visualization
šŸ’” Key Insights
Identified high-risk customer segments
Analyzed correlation between contract types and churn rates
Evaluated impact of service offerings on customer retention
Provided data-driven recommendations for reducing churn
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