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Bank Loan Data Analysis Power BI Dashboard

Bank Loan Data Analysis Power BI Dashboard

📝 Overview

This Power BI dashboard offers an in-depth analysis of bank loan data, aiming to provide actionable insights into loan applications, approvals, disbursements, and repayments. It is designed to assist financial institutions in understanding loan performance, identifying trends, and making data-driven decisions.

📌 Key Features

  • Loan Application Analysis: Visual representation of the number of loan applications over time, segmented by loan type and applicant demographics.

  • Approval & Rejection Rates: Comparative metrics showcasing approval versus rejection rates, helping to identify patterns or anomalies in the loan approval process.

  • Disbursement Details: Insights into the total amount disbursed, average loan amounts, and distribution across different loan categories.

  • Repayment Tracking: Monitoring of repayment statuses, highlighting overdue payments, defaults, and successful repayments.

  • Geographical Distribution: Mapping of loan applications and approvals across various regions, aiding in regional performance assessment.

📈 Visualizations Included

  • Bar Charts: Displaying monthly loan applications and approvals.

  • Pie Charts: Illustrating the proportion of loan types and repayment statuses.

  • Line Graphs: Tracking trends in loan disbursements and repayments over time.

  • Maps: Geographical representation of loan activities across different regions.

  • Tables: Detailed breakdowns of loan data, including applicant information and loan specifics.

🛠️ Technical Implementation

  • Data Sources: The dashboard integrates data from internal banking systems, ensuring real-time updates and accuracy.

  • Data Transformation: Utilizes Power Query for data cleaning and transformation, ensuring consistency and reliability.

  • DAX Measures: Custom DAX formulas are employed to calculate key performance indicators such as approval rates, average loan amounts, and repayment ratios.

  • Interactivity: Incorporates slicers and filters, allowing users to drill down into specific data segments based on time frames, loan types, or regions.

🎯 Use Cases

  • Risk Assessment: Identify high-risk loan categories or regions with higher default rates.

  • Performance Monitoring: Track the efficiency of the loan approval process and identify bottlenecks.

  • Strategic Planning: Inform decision-making for launching new loan products or entering new markets based on historical data trends.

  • Regulatory Compliance: Ensure adherence to lending regulations by monitoring approval and rejection patterns.




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