This project focuses on analyzing customer churn in the banking sector using Power BI. The goal is to identify patterns and factors contributing to customer attrition, enabling banks to implement effective retention strategies.
- Data Visualization: Interactive dashboards showcasing key metrics related to customer churn.
- Predictive Analytics: Insights into factors influencing churn rates.
- Customer Segmentation: Analysis of different customer segments to tailor retention efforts.
This analysis utilizes a public dataset from Kaggle: https://www.kaggle.com/datasets/adammaus/predicting-churn-for-bank-customers/data
- Power BI: For data visualization and reporting.
- DAX: For data modeling and calculations.
- Excel/CSV: For data preparation and cleaning.
- Clone the repository.
- Open the Power BI file.
- Refresh the data connections to load the latest data.
- Explore the dashboards and reports.
Contributions are welcome! Please feel free to submit a pull request or open an issue for any suggestions or improvements.