FICO® Predictive Analytics help you attain the best predictive models for your business needs—whether you’re new to scoring or have an experienced in-house analytic team. Predictive models provide significant benefits used on their own or as an integral part of FICO’s decision management solutions. Use empirically derived custom models tailored specifically to proprietary product portfolios and customer bases, as well as pooled-data and expert (knowledge-based) models to reduce the time, expense and data demands of custom development.
FICO® Predictive Analytics
Sharpen predictive modeling precision
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Features & Benefits
Improved profitability from more targeted decisions across the lifecycle
More sophisticated predictive models help you make more targeted and effective decisions in originations and underwriting, customer management, fraud, collections, marketing and other areas. Even marginal lifts in prediction accuracy can produce large gains for a portfolio.
Build your analytic expertise and deepen views into your consumers
Custom predictive models add value even if you’re already using pooled models or credit bureau scores. Built for your business problem, and often on your own data, custom analytics give you a different view of each customer, applicant or prospect
Faster model implementation accelerates time-to-value
The model development process is designed to give you a quick deployment in your Decision Management application or business rules management system
Ensure regulatory compliance
Better risk modeling is part of the improvements in risk management required for both national and international regulations, including Basel II. FICO brings your modeling project deep expertise in legal restrictions on data use and requirements for safe and sound risk management practices
Resources
Insights White Papers
Post-Crisis Analytics: Six Imperatives
Jul 2010, No. 40
Product Sheet
Success Stories
White Papers
Events & Webinars
Aug 03 - Tradeshow
30th Annual NAMPI Conference
Aug 05 - Upcoming WebinarLeveraging Scoring and Model Management in a New Culture
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