Earlier analysis · 2022

Telecommunications Customer Churn

Exploring customer value and churn risk to frame more focused retention questions.

Role
Data analyst
Tool
Power BI
Dataset
7,043 customers
Brief
Maven Analytics

The business context

The project used customer data from a telecommunications provider serving California. It covered demographics, geography, phone and internet services, account characteristics, and current customer status for 7,043 people.

Telecommunications customer churn dashboard showing account and churn indicators
Customer churn report designed to connect account patterns with retention questions.Open full-size image ↗

Analysis lens

I organised the report around two related needs: understanding which customers represented meaningful value and identifying segments where churn deserved closer attention. Demographic, service, tenure, and account dimensions were brought together so users could move from a headline churn view to more specific comparisons.

Decision value

The dashboard creates a starting point for targeted retention analysis rather than treating every customer or churn event as equivalent. Any operational intervention would require further validation—especially to distinguish descriptive association from causal drivers.