About this paper
As more organizations globally realize the value of analytics and credit scoring, there’s growing interest in setting up analytics and modeling disciplines in-house. But to realize expected value, your organization needs a comprehensive plan and long-term vision for analytics and modeling. This paper explores the most common problems organizations face when setting up infrastructure for analytics – and credit risk modeling specifically – and suggests ways to increase productivity and reduce problems through better planning and design. The discussion focuses on building, using and monitoring predictive models, including scorecards.
About SAS
SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.
Have a SAS profile? To complete this form automatically Sign In