Keys to robust credit risk modeling and decisioning for better customer experience

White Paper

Keys to robust credit risk modeling and decisioning for better customer experience

presented by SAS


Does your organization want to make faster, more accurate credit decisions for both origination and servicing? Modernizing and automating the end-to-end process – from data management to model development and credit decisions – can reduce credit losses and boost performance. Empowering this process with machine learning supports more effective decisions about credit for individuals, products or portfolios.