Software

Fair Isaac Blaze Advisor is an industry-leading software package that allows design, deployment, execution, and maintenance of business rules as part of an automated business application. The new release adds Fair Isaac's established scorecard modeling capabilities to the product, along with support for rule tests against data set statistics. The additional features allow customers to more quickly and easily create and modify powerful automated decision processes.

Blaze Advisor 5.5 gives users the ability to define and execute scorecards within a rules-based decision process. A scorecard gives companies an easy way to combine many factors into an overall measurement that can be used to drive their decisioning rules. By assigning proprietary categories, ranges, and associated scores to individual criteria, organizations can build up additive scores that predict rankings such as a customer's relative worth, a prospect's likelihood to accept a promotional offer, or a mechanical component's probability of failing within a given configuration.

For companies in sectors such as finance, insurance, government, or other highly-regulated disciplines, the product offers ways to set, capture, and record significant factors used in calculating a score. By defining customized Reason Codes, organizations can make use of scorecards as an auditable component of their decision processes. Contributing factors to a score can be tracked and reported based on relative corporate priorities or on mathematical rankings considering each factor's impact on the result.

Model Builder

Release 2.1 of Model Builder for Predictive Analytics allows clients to create more accurate predictive scores with performance inference processing and integrate Model Builder more easily into mainframe environments.

Model Builder's advanced modeling capabilities support the design and deployment of decision management applications that can be configured to meet the unique needs of different businesses. Clients can quickly define, test, and deploy models to production systems including mainframes without recoding by programmers. This lets companies move from data analysis to production status much faster than has been possible with traditional modeling software with fewer modeling errors, better compliance with regulatory requirements, and easier monitoring and modification of decision models.