This report, prepared for the DataDNA September 2025 Challenge, analyzes Nova Bank’s loan portfolio to uncover high-risk borrower segments and strengthen lending strategies. Page 1 (Borrower Profile) compares demographics and characteristics of all borrowers versus defaulters, highlighting patterns in age, income, education, and loan intent that signal higher risk. Page 2 (Risk Exposure & Recovery Potential) examines loan exposure by grade, purpose, and geography across the USA, UK, and Canada, while contrasting potential losses from defaults with recovery opportunities. Together, these insights support more sustainable, data-driven credit decisions.
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Summary
This Power BI report uses the Credit Bank Risk Dataset and features ZoomCharts Drill Down PRO custom visuals for Power BI. It was submitted to the Onyx Data DataDNA ZoomCharts Mini Challenge in September 2025.
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ZoomCharts visuals used
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