Archived Webcast for On-Demand Viewing (Registration is required, see below on this page):

This Webcast highlights the use of the STATISTICA Credit Scoring software for building more effective credit scorecards and credit risk models.  Example case studies are presented illustrating the specific outcomes & metrics for the return on investment of using the STATISTICA Credit Scoring software.  The presenters discuss the integration of STATISTICA Credit Scoring with existing line of business systems for the support of real-time credit scoring.  The presenters cover the following topics:

• the increased "good" business and decreased losses with in-house-developed credit scorecards versus generic scorecards
• a comparison of traditional techniques such as logistic regression with newer predictive modeling approaches to credit scoring
• a survey of the STATISTICA Credit Scoring techniques and workflows for credit scoring, from data preparation, to building scorecards, to deploying the scorecards, to evaluating their ongoing accuracy
• Advantages of in-house credit scoring for supporting other initiatives such as behavior scoring, up-sell/cross-sell, and fraud detection applications using analytics and historical data

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