Purpose: Analyze telecom customer data to understand customer behavior, perform churn analysis, and improve customer satisfaction.

Description: Telecommunication companies rely heavily on customer insights to improve their services. In this project, you will work with a telecom customer dataset that includes call records, usage patterns, billing data, and customer complaints. Using SQL, you will analyze customer behavior, perform churn analysis to identify factors contributing to customer attrition, and provide recommendations for improving customer satisfaction. This project showcases your ability to extract valuable insights from telecom data and help companies retain and satisfy their customers.

Additional Tools: Excel or data visualization tools can assist in creating visualizations to highlight customer behavior and identify areas for improvement.

• Excel: Used for data manipulation, calculations, and basic visualizations.
• Data visualization tools like Tableau, Power BI, or Google Data Studio: Used for creating interactive and visually appealing dashboards and charts.

Follow for more visit  – https://www.ibm.com/docs/en/cognos-analytics/11.1.0?topic=samples-telco-customer-churn