Customer churn analysis dashboard built with Apache Superset — MTN Rwanda (7,043 customers)
# MTN Rwanda Customer Dashboard | Customer Churn Analysis
## Project Overview
Customer churn analysis dashboard built using Apache Superset,
analyzing behavioral and service data for **7,043 MTN Rwanda subscribers**
to identify churn patterns across service types, contract types, and customer segments.
## Dashboard Preview
## Key Metrics
| Metric | Value |
|--------|-------|
| Total Customers | 7,043 |
| Overall Churn Rate | 26.5% |
| Senior Customers | ~1,140 |
| Non-Senior Customers | ~5,900 |
## Charts & Analysis
### 1. Total Customers & Churn Rate KPIs
High-level snapshot showing 7,043 total subscribers with an overall churn rate of 26.5%.
### 2. Churned vs Active Customers
Pie chart showing the proportion of churned (Yes) vs retained (No) customers.
### 3. Senior vs Non-Senior Customers
Segment breakdown — ~1,140 senior customers vs ~5,900 non-senior customers.
### 4. Churn by Internet Service
Bar chart comparing churn across DSL, Fiber Optic, and No internet service subscribers.
Fiber optic users show the highest churn volume.
### 5. Churn by Contract Type
Bar chart showing churn across Month-to-month, One year, and Two year contracts.
Month-to-month contracts have significantly higher churn.
### 6. Revenue by Payment Method
Donut chart showing revenue distribution across different payment methods.
### 7. Customers by Tenure
Line chart tracking customer count across tenure duration (0–70 months).
Shows a spike in new customers and a recovery at long tenure — indicating loyalty patterns.
## Key Insights
- **Month-to-month** contract customers churn at a much higher rate than yearly contracts
- **Fiber optic** users show higher churn than DSL users
- Customers with **longer tenure (60–70 months)** show strong retention recovery
- **Senior customers** (~16%) show distinct behavioral patterns worth targeting
## Tools Used
| Tool | Purpose |
|------|---------|
| Apache Superset | Dashboard & visualization |
| SQL | Data querying & agg …