

By dramatically accelerating model deployment, Model Builder can reduce model deployment costs by as much as 75, while shortening time to value and improving model ROI. Model Builder 7.1 combines industry breakthroughs in scorecard development functionality with a highly visual interface and 64-bit certification to solve very large modeling problems. Using FICO Xpress Optimization Suite and FICO Model Builder, TFS combined statistical modeling, forecasting, predictive modeling and optimization into a single framework that allows it to rapidly.
#Fico model builder software
FICO Model Central, is a powerful analytic model management solution which provides consistent end-to-end model governance, a central repository for all of an organization's analytic models, and advanced workflow management.Īnalytic models are at the heart of an organization's decision-making process, and increased regulatory oversight requires that businesses employ an approved model development and monitoring process, and retain comprehensive documentation of key decisions made throughout the model lifecycle.įICO is a leading analytics software company, and provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimize operations and meet strict government regulations.įICO Model Central provides streamline model validation time by 60%, speed model deployment by as much as 80%, reduce deployment costs by up to 50%, minimize compliance risk with comprehensive audit trails and enhance model performance through faster identification of model degradation.įICO Model Central streamlines compliance and improves decision making with model deployment, governance and monitoring designed to comply with evolving regulations and support superior predictive decisions. The Scorecard Module in the Fair Isaac Model Builder tool is used to produce the FICO credit score. Model Builder enables analytic developers to discover, design and deploy predictive analytics for high-volume decisions.
