The Evolution of Commercial Credit Decisioning


Historically, commercial risk scoring models have relied on basic decision criteria and hard-to-find – or even non-existent – commercial credit data, like:

  • Commercial credit scores
  • Number of years in business
  • Year-over-year growth
  • Past utilization of credit

While this information is important, it doesn’t provide an objective, comprehensive assessment of risk. By using a limited range of data, lenders often end up turning away legitimate opportunities due to a lack of information or one “bad” data point.

Fortunately, decisioning techniques have improved over time. Today, a wealth of data and emerging technologies enable lenders to more accurately predict risk and offer credit access to qualified small businesses that need it. As a result, lenders can lend more – and more profitably.

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