The objective of this project is to develop a BI platform that analyzes telecom customer data to identify churn patterns and retention opportunities. The system will assist service providers in improving customer satisfaction and reducing subscriber loss.
Collect telecom customer datasets including usage patterns and subscription history.
Clean and preprocess demographic and service usage data.
Design a data warehouse suitable for churn analytics.
Implement ETL processes to consolidate billing and usage records.
Develop dashboards showing churn rates and retention metrics.
Analyze factors influencing customer churn.
Implement classification models to predict churn probability.
Compare churn trends across service plans.
Create interactive reports for management review.
Validate predictive models using evaluation metrics.
Document findings and customer retention recommendations.
