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https://github.com/jotstolu/bank-loan-analysis---power-bi-project

This project involves developing a comprehensive bank loan report using Power BI, designed to provide insights into lending performance and risk management
https://github.com/jotstolu/bank-loan-analysis---power-bi-project

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This project involves developing a comprehensive bank loan report using Power BI, designed to provide insights into lending performance and risk management

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# BANK LOAN DATA ANALYSIS
This project involves developing a comprehensive bank loan report using Power BI, designed to provide insights into lending performance and risk management.
The report consists of three interactive dashboards:
- Summary Dashboard
- Overview Dashboard
- Detail Dashboard

These dashboards deliver actionable insights into lending activities, key performance indicators (KPIs), and trends, empowering stakeholders to make informed decisions.
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# Dashboards and Features
# 1. Summary Dashboard
The Summary Dashboard offers a high-level view of critical KPIs to track the effectiveness of the lending process. These metrics provide a quick understanding of the overall health of the lending portfolio.
![Screenshot 2025-01-15 100237](https://github.com/user-attachments/assets/8fcfca08-54c0-4dbf-87fa-c4e443ec6e86)
## Key Features
- Total Loan Applications:
o Displays the total number of loan applications received within a specific period.
o Tracks Month-to-Date (MTD) applications and compares Month-over-Month (MoM) changes to identify trends.
- Total Funded Amount:
o Visualizes the total amount disbursed as loans.
o Highlights MTD funding and MoM variations, aiding in monitoring disbursement trends.
- Total Amount Received:
o Represents the total repayments made by borrowers.
o Tracks cash flow through MTD and MoM analysis of repayments.
- Average Interest Rate:
o Calculates and tracks average interest rates across loans.
o Provides MTD and MoM changes to assess cost dynamics within the portfolio.
- Average Debt-to-Income Ratio (DTI):
o Analyzes the financial capabilities of borrowers by computing the average DTI.
o MTD and MoM changes in DTI help monitor borrower affordability and risk levels.
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# 2. Overview Dashboard
The Overview Dashboard delves deeper into loan performance metrics, providing trends, segmentation, and performance comparisons.
![Screenshot 2025-01-15 100323](https://github.com/user-attachments/assets/631c1d14-f870-4534-b522-ff1cdf994d6b)
## Key Visuals:
- Monthly Loan Applications.
- Total Loan Applications by State
- Total Loan Applications by Term
- Total Loan Applications by Employee Length
- Total Loan Applications by Purpose
- Total Loan Applications by Home Ownership
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## 3. Detail Dashboard
The Detail Dashboard focuses on granular data analysis, offering detailed insights into individual loans and borrower profiles.
![Screenshot 2025-01-15 100410](https://github.com/user-attachments/assets/8c6e6049-1ce6-4816-b607-a226ac47bd40)