This repository contains a Power BI project designed to analyze bank loan data. The dashboard provides key insights into loan approval rates, default risks, customer demographics, and lending patterns. It serves as a valuable tool for banks and financial institutions aiming to make informed lending decisions based on data-driven insights.
- Loan Approval Analysis: Breakdown of approved vs. rejected loans with trends over time.
- Default Risk Insights: Identification of factors contributing to loan defaults.
- Customer Segmentation: Analysis of customer demographics, including age, income, and credit score distributions.
- Interactive Visualizations: User-friendly and customizable visualizations for deeper analysis.
- Enhance decision-making by visualizing key loan metrics.
- Identify risk factors to improve loan approval processes.
- Provide insights into customer profiles to tailor financial products.
The dashboard consists of the following sections:
- Overview: Summary metrics, including total loans, approval rates, and default rates.
- Demographics: Customer distribution by age, gender, income, and geography.
- Loan Analysis: Insights into loan amounts, interest rates, and repayment trends.
- Risk Assessment: Identification of high-risk customers and default trends.
bank-loan-analysis-dashboard/
├── README.md # Project documentation
├── LICENSE # Licensing information
├── /data/ # Sample data used for the dashboard
│ └── bank_loan_data.csv # Placeholder for the dataset
├── /images/ # Dashboard screenshots and visualizations
│ └── dashboard.png
└── /dashboard/ # Power BI file and related exports
└── Bank Loan Analysis Dashboard.pbix