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FICO® Analytic Consulting helps you attain the best predictive models for your business needs—whether you’re new to scoring or have an experienced in-house analytic team. FICO Analytic Consulting's 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.
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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
Analytic Consulting delivers custom predictive models that 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.
Digital transformation is accelerating the pace of change in virtually every industry. Businesses are under intense pressure to make better decisions, faster, to be competitive and enhance their customers’ experience. More ...
Rapid digital transformation with an emphasis on machine learning and massive datasets is putting pressure on businesses to innovate their predictive analytics now or be left behind. Many businesses do not have the full set of resources, s...
Every project is different, so it would be impossible to put together a standard template for designing a predictive modeling project. However, there are key design issues that can be considered generally applicable. The following suggesti...
90% of purchase decisions in banking are based on shopping or research processes, and not on prior relationships. While bank marketers might wish otherwise, the reality is that consumers’ interest in their products exists almost entirely i...