An interactive Power BI Dashboard built to analyze customer churn patterns in the telecom industry. This project provides actionable business insights by identifying the key factors contributing to customer churn and helps support data-driven customer retention strategies.
Customer churn is a critical challenge for telecom companies. This dashboard analyzes customer demographics, contract types, payment methods, internet services, tenure, and other factors to understand customer behavior and identify high-risk segments.
The dashboard is fully interactive with slicers and KPI cards, enabling users to explore churn trends efficiently.
- Analyze customer churn behavior
- Identify high-risk customer segments
- Monitor overall churn performance
- Compare churn across multiple customer attributes
- Build an interactive business intelligence dashboard
- Support customer retention strategies
- Power BI
- Power Query
- DAX
- Data Modeling
- Data Cleaning
- Data Visualization
| KPI | Value |
|---|---|
| Total Customers | 7,043 |
| Churned Customers | 1,869 |
| Retained Customers | 5,174 |
| Overall Churn Rate | 26.54% |
| Average Tenure | 32.37 Months |
| Average Monthly Charges | $64.76 |
- Interactive KPI Cards
- Customer Churn Overview
- Churn Rate by Contract Type
- Churn Rate by Tenure Group
- Churn Rate by Payment Method
- Churn Rate by Internet Service
- Churn Rate by Tech Support
- Churn Rate by Gender
- Churn Rate by Senior Citizen
- Dynamic Filters for Data Exploration
- 📌 Month-to-Month contracts have the highest churn rate (42.71%).
- 📌 Customers with 0–12 months tenure are most likely to churn (47.44%).
- 📌 Fiber Optic customers show the highest internet service churn (41.89%).
- 📌 Electronic Check users have the highest payment method churn (45.29%).
- 📌 Customers without Tech Support have significantly higher churn (41.64%).
- 📌 Senior Citizens experience a higher churn rate (41.68%).
Add your dashboard screenshot here.
FUTURE_DS_02
│
├── Dashboard.pbix
├── Dashboard Preview.png
├── Telecom Customer Churn Dashboard.pdf
├── Telecom_Customer_Churn.csv
├── README.md
└── LICENSE
This dashboard enables organizations to:
- Improve customer retention
- Reduce churn
- Identify high-risk customers
- Optimize business decisions
- Understand customer behavior
- Support strategic planning through interactive analytics
Aftab Monye
🔗 LinkedIn: https://www.linkedin.com/in/aftab-monye/
💻 GitHub: https://github.com/aftabmonye
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