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Vern Rollins

Data Analytics Manager, MeridianLink

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Decisioning Optimization through a Custom Scorecard

Over the past decades of growing credit demand, stronger competition and advances in computer technology, traditional methods of making credit decisions that relied mostly on human judgment have been replaced by methods using statistical models such as custom scorecards. The following eBook will explore how custom scorecards can help substantially increase automation in the credit underwriting process and improve risk control at the point of origination while allowing financial institutions to gain more business. In other words, custom scorecards allow for a higher level of auto-decisioning, more analytics-based underwriting rules, and more profitable loans all while keeping the institutions within their risk appetites.
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