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July 11, 2006
The newest release of Fair Isaac's software platform for developing and deploying analytic models helps organizations secure more precise insights into future transactions, customer behavior and business outcomes.
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 allows companies to move from data analysis to production status much faster than is possible with traditional modeling software. It also results in better compliance with regulatory requirements, easier monitoring and modification of decision models and fewer modeling errors.
Model Builder 3.0 incorporates several new features that provide an unparalleled level of control and feedback to fine-tune predictive models for optimized business benefits. The optional Segmentation ART™ (Adaptive Random Trees) module improves the quality of predictions by automatically recognizing segments of the data population that can benefit from specialized models.
"Model Builder 3.0 improves our clients' ability to build models that provide a more comprehensive view of their customer relationships, which in turn can drive more effective campaigns and results," said Andrew Flint, director of product management, EDM at Fair Isaac. "As we continue to deliver decision management innovations, the introduction of ART technology provides an approach that is superior to traditional, manual techniques used to build and deploy systems of segmented models."
The Segmentation ART module debuts Fair Isaac's genetic algorithm approach to creating systems of segmented models that predict outcomes with greater precision than other model segmentation techniques. The ART technology automatically optimizes and evolves the segmentations toward better solutions, thereby eliminating the need to create and evaluate segmentation trees manually.
Release 3.0 of Fair Isaac's Model Builder offers several other key enhancements in functionality:
Additionally, Model Builder 3.0 can export its predictive models to Predictive Model Markup Language (PMML). PMML is considered to be the most widely deployed data mining standard that uses an XML markup language to describe statistical and data mining models. PMML allows for the swift and flexible deployment of models into production systems, and is supported by a wide range of technology providers including IBM, Microsoft, Oracle, and Teradata.
About Fair IsaacFair Isaac Corporation (NYSE:FIC) makes decisions smarter. The company's solutions and technologies for Enterprise Decision Management give businesses the power to automate more processes, and apply more intelligence to every customer interaction. Through increasing the precision, consistency and agility of their decisions, Fair Isaac clients worldwide increase sales, build customer value, cut fraud losses, manage credit risk, reduce operational costs, meet changing compliance demands and enter new markets more profitably. Founded in 1956, Fair Isaac powers hundreds of billions of decisions per year in financial services, insurance, telecommunications, retail, consumer branded goods, healthcare and the public sector. Fair Isaac also helps millions of individuals manage their credit health through the www.myfico.com website.
Statement Concerning Forward-Looking InformationExcept for historical information contained herein, the statements contained in this press release that relate to Fair Isaac, including statements regarding its Fair Isaac Model Builder 3.0 product offering and the benefits to be derived from this product offering, are forward-looking statements within the meaning of the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are subject to risks and uncertainties that may cause actual results to differ materially, including any unforeseen technical difficulties related to the implementation, use and functionality of the offering, the risks that customers will not perceive material benefits from the offering, failure of the product to deliver the expected results, the possibility of errors or defects in the offering, regulatory changes applicable to the use of consumer credit and other data, and other risks described from time to time in Fair Isaac's SEC reports, including its Annual Report on Form 10-K for the year ended September 30, 2005, and its quarterly report on Form 10-Q for the period ended March 31, 2006. Forward-looking statements should be considered with caution. If any of these risks or uncertainties materializes or any of these assumptions proves incorrect, Fair Isaac's results could differ materially from Fair Isaac's expectations in these statements. Fair Isaac disclaims any intent or obligation to update these forward-looking statements.
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