Summary

This Credit Risk Analysis Dashboard is a Power BI report example for exploring lending data and understanding the factors associated with credit risk. It brings portfolio, borrower, and loan information together, helping users compare risk patterns and identify areas that may require closer review.

Key Insights of the Credit Risk Analysis Dashboard

The dashboard presents credit risk data from several analytical perspectives. It can help users examine:

• Credit risk overview: understand how risk is distributed across the lending portfolio
• Borrower profiles: compare risk patterns across different customer groups
• Loan characteristics: explore how lending attributes relate to credit risk
• Risk patterns: identify factors and combinations associated with higher-risk cases

Interactive Power BI visuals make it easier to move from a portfolio-level overview to more focused analysis. Filters and chart selections help users compare segments and investigate the relationships behind the reported risk patterns.

How to Use This Credit Risk Analysis Dashboard

Use the available filters and click active chart elements to narrow the data and explore credit risk from different perspectives. Selecting a borrower group, loan category, or other data point updates the related visuals where cross-filtering is enabled.

Download the .pbix file to review the report structure, calculations, visual settings, and interactions, or adapt the dashboard to your own credit risk data.