To make timely and accurate credit-worthiness decisions, financial services firms need to be able to quickly build and deploy advanced analytical models for credit scoring. Credit scoring helps the lender assess risk in lending by using predictive determinations to significantly improve the evaluation of the risk of loan applicants.
Better still, with the right analytical model and data that is generated internally and externally about the individual customer, credit scoring conducted by a financial institution can provide a far more accurate and dependable assessment of an applicant’s credit worthiness than could be achieved using out-of-the-box scoring from third parties.
Read this whitepaper to learn how to make better credit worthiness decisions in less time.
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