Alternative Data Underwriting Displaces Traditional Credit Scoring
Digital lending platforms are increasingly underwriting loan applications using alternative transaction, cash flow, and behavioural data rather than relying solely on traditional credit bureau scores that cannot capture a borrower's real time financial situation. MMA's Q4 2025 primary research found platforms using alternative data underwriting reporting approval time reductions averaging 78 percent versus comparable traditional bank lending processes, as platforms completed the machine learning model development needed to assess credit risk reliably from non traditional data sources. This shift is resetting platform investment priorities across the category broadly. Platforms without comparable data capability face mounting pressure.
Market Impact: Drives 54 percent of new applications








