The FICO Data Privacy Policy explains FICO’s collection and use of cookies. Cookies help us remember your settings to provide you with a better browsing experience; allow us to assess, monitor, and improve the website’s performance; and enable our partners to advertise to you. You may disable the cookies by changing the settings in your browser, and you may tell us not to share your cookie data with third parties. By using this website, you consent to the use of cookies as described in the FICO Data Privacy Policy.
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.
Visit the FICO Analytics Community to download software trials, get support and talk to the experts! Visit Community
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.
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...
Fintechs and challenger banks have put a dent in the financial services universe. By developing compelling new products, services and experiences, these companies have set a new standard and raised customers’ expectations. While traditiona...
Many banks and credit unions are using analytics, predictive scores and scorecards to some extent to make origination decisions and better understand their members and customers. Your customer data holds the key to enabling your organization to make better decisions to drive profit, improve relationships, and remain competitive in today’s saturated market. However, many organizations without teams of data scientists face challenges with understanding the best ways to use and deploy scorecards. And most struggle with the most important element: How can you use your customer data and scorecards to actually make automated, real-time decisions? In this webinar we provide an overview of various predictive scoring options and recommendations on when to use each, discuss how decision services technology enables organizations to automate decisions using predictive scores and scorecards, and provide insights on how decision services can work with your existing infrastructure to accelerate the deployment of predictive scores and scorecards.