Credit Risk Scoring Hindered by Persistent Data Issues, Not Model Design

Despite advances in modeling techniques, fundamental data problems continue to be the main challenge in credit risk assessment. Key issues include insufficient credit history for many borrowers and quality gaps in alternative data sources like cash flow information. Approximately 45 million Americans lack traditional credit files, making them difficult to score reliably with standard methods. Lenders find that improving data quality often provides more value than developing more complex prediction models. The industry's focus has shifted to incorporating clean, non-traditional data to expand access to credit.