https://github.com/purushothamadluru/kpi-driven-insights-dashboard-customer-churn-analysis

This repository features a Power BI project designed to deliver KPI-driven insights into customer churn patterns. Leveraging a robust dataset and advanced data modeling techniques, this project uncovers trends, identifies key drivers of churn, and enables businesses to make data-driven decisions.
https://github.com/purushothamadluru/kpi-driven-insights-dashboard-customer-churn-analysis

customer-churn-analysis data-analysis insights-dashboard kpi powerbi

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This repository features a Power BI project designed to deliver KPI-driven insights into customer churn patterns. Leveraging a robust dataset and advanced data modeling techniques, this project uncovers trends, identifies key drivers of churn, and enables businesses to make data-driven decisions.

• Host: GitHub
• URL: https://github.com/purushothamadluru/kpi-driven-insights-dashboard-customer-churn-analysis
• Owner: PurushothamAdluru
• Created: 2025-01-24T23:41:43.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-01-24T23:48:38.000Z (9 months ago)
• Last Synced: 2025-02-07T09:18:26.257Z (8 months ago)
• Topics: customer-churn-analysis, data-analysis, insights-dashboard, kpi, powerbi
• Homepage:
• Size: 696 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
### README for GitHub  

**KPI-Driven Insights Dashboard: Customer Churn Analysis**  

This repository features a Power BI project designed to deliver KPI-driven insights into customer churn patterns. Leveraging a robust dataset and advanced data modeling techniques, this project uncovers trends, identifies key drivers of churn, and enables businesses to make data-driven decisions. The intuitive dashboard focuses on key metrics, presenting actionable insights through interactive visualizations.  

### Dataset Summary  

The dataset, titled **"Analyzing Customer Churn,"** provides detailed customer information across 29 columns. The key attributes include:  

- **Customer Demographics**:  

  - Customer ID  

  - Senior status  

  - Group membership  

- **Service Usage Details**:  

  - Local and international calls  

  - Local and international minutes used  

  - Extra international charges  

- **Financial and Account Information**:  

  - Contract types (e.g., Month-to-Month, One Year)  

  - Payment methods (e.g., Direct Debit, Paper Check)  

  - Monthly and total charges  

- **Churn-Specific Metrics**:  

  - Churn label (Yes/No)  

  - Churn category and churn reasons  

This dataset forms the foundation for analyzing churn drivers and crafting actionable retention strategies.  

### Dashboard Features  

The Power BI report delivers insights through structured and interactive dashboards. Key features include:  

- **Demographic Insights**:  

  - Analysis of customer segments by senior status, group membership, and account length.  

- **Service Usage Metrics**:  

  - Visualizations of local and international call usage, minutes, and extra charges.  

  - Identification of service usage trends contributing to churn.  

- **Financial Analysis**:  

  - Monthly and total charge breakdowns to identify financial patterns.  

  - Correlations between payment methods, contract types, and churn rates.  

- **Churn Analytics**:  

  - Focused dashboards exploring churn categories and specific reasons.  

  - Identification of high-risk groups for targeted retention strategies.  

- **Interactive Features**:  

  - Filters and slicers to customize analysis and focus on specific customer groups or metrics.  

### Technical Highlights  

This project was built using **Power BI Version 5** and integrates a preprocessed CSV dataset. Key technical components include:  

- **Data Model**:  

  - Defines relationships between data attributes for seamless analysis.  

- **Interactive Report**:  

  - Features KPI-driven dashboards designed for effective communication of insights.  

- **Diagram Layout**:  

  - Optimized arrangement of visuals for intuitive navigation and user experience.  

- **Metadata Integration**:  

  - Documents data sources and configuration details for transparency.  

The integration of the dataset with Power BI ensures a robust and scalable foundation for analysis, enabling businesses to monitor KPIs effectively.  

### Objectives  

The primary objectives of this project are to:  

- Identify key KPIs and metrics influencing customer churn.  

- Provide actionable insights to improve customer retention strategies.  

- Enable data-driven decision-making with an intuitive and professional visualization framework.  

### Usage Instructions  

1. Open the **"KPI-Driven Insights Dashboard: Customer Churn Analysis"** `.pbix` file in Power BI Desktop (Version 5 or later).  

2. Navigate through the dashboards to explore:  

   - Churn trends and their correlation with key metrics.  

   - Demographic, financial, and service usage patterns.  

   - Churn categories and reasons for actionable insights.  

3. Use slicers and filters to customize the analysis based on specific business needs or customer segments.  

This dashboard combines data analytics and visualization expertise to address critical churn challenges. By focusing on key KPIs and metrics, it provides a scalable and actionable solution for improving customer satisfaction and retention.