Scorecards are a powerful and palatable predictive modeling technology for a wide range of business applications. Scoring and decision execution must cope with the imperfections of real-world data though. Variable typically have erroneous or missing data values, and score development data samples can be both truncated and biased. Such data imperfections can render estimation of business models difficult, and can result in misleading models and inadequate decisions.

This white paper describes a comprehensive scorecard development platform. Explore the main elements of scoring technology and its relationship to statistical modeling. Discover how to gain insight into data and the predictive relationships within it and learn how to deal with the modeling challenges most likely to be encountered in the practices of score development. Develop highly predictive scorecards without sacrificing operational or legal constraints, and deploy these models with ease.