Customer Churn Analysis in Power BI

This project uses Power BI Desktop and Excel to help businesses prevent customer loss and improve customer service.

Key Features:

📌 Predictive Churn Modeling: Identify at-risk customers before they churn, enabling proactive interventions and retention strategies.

📌 Customer Segmentation: Group customers based on shared characteristics and churn risk, allowing for targeted marketing and engagement efforts.

Built with:

1. Power BI Desktop
2. Excel

Key Insights:

Benefits:

1. Reduce customer loss: Identify and help customers at risk to keep them longer.
2. Improve customer satisfaction: Understand customer needs better for better service.
3. Make data-driven decisions: Use insights to make better choices for keeping customers happy.

Beyond the Dashboard: Communication for Impact

Besides making great dashboards, I also help clients understand the data and make smart decisions with it. By sending clear emails, I:

• Shared important findings: Summarized data nicely focusing on what matters.
• Tailored messages: Adjusted my language to match the client's knowledge level.
• Suggested actions: Gave specific advice on what to do next.

Get Started:

1. Get the project files.
2. Open the Customer Churn Dashboard.pbix & Customer Risk Analysis Dashboard.pbix in Power BI Desktop.
3. Connect to your data source.
4. Start improving customer retention!

Use data insights and Power BI dashboards to keep customers happy and engaged. Note: This version highlights the project's benefits for businesses and includes a clear call to action.