MINNEAPOLIS, MN, June 7, 2004 -- Fair Isaac Corporation (NYSE:FIC), the leading provider of analytics and decision technology, today announced release 2.1 of Model Builder for Predictive Analytics, an advanced modeling platform specifically designed to jump-start the predictive modeling process, enabling rapid development and deployment of predictive models into enterprise-class decision applications. The new release lets clients 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.

"Model Builder for Predictive Analytics 2.1 lets organizations manage the entire modeling lifecycle in one integrated environment, from data preparation through model deployment and ongoing maintenance," said Todd Davis, vice president of Enterprise Decision Management software at Fair Isaac. "This tool can be configured to meet the needs of multiple modeling projects and business applications with built-in integration to other Fair Isaac decision management products and external systems. These customer benefits are derived from more than 40 years of modeling and analytic experience gained at the world's largest financial institutions, insurers, and telecommunications providers."

In an analysis of Model Builder for Predictive Analytics performed by Elder Research, Inc., distinguished research scientists John F. Elder, Ph.D., and J. Dustin Hux found that "Model Builder is a clear contender for top-of-the-line data mining and analysis tool. It is likely unparalleled in scorecard technology -- Fair Isaac's strength -- and is competitive in a growing suite of analysis capabilities. Importantly, Model Builder for Predictive Analytics streamlines the integration process, from analysis to production, enabling massive scalability on legacy systems."

New Features of Release 2.1

Model Builder for Predictive Analytics in release 2.1 offers companies several improvements in functionality and implementation:

-- Performance inference processing in scorecard modeling allows users to infer the performance of data observations previously eliminated from studied populations due to selection methods or other subjective sample biases. This methodology results in better quality scorecard models achieved by exploiting the most predictive value possible from available data sources.

-- Model Builder can use mainframe data files in their native binary format from systems such as IBM OS/390 to perform modeling without requiring intermediate data transformations. This lets companies more easily access and analyze the data from their largest production systems.

-- Efficiency improvements include faster data processing and enhancements to the graphical user interface (GUI) for modelers.

Other functionality enhancements span the entire modeling lifecycle. These include improvements in accessing and managing data, additional statistics for data analysis, new modeling options, improved performance reporting and the addition of reason codes to explain scorecard model outputs. There are also enhancements to allow easier and more extensive user customizations.

"Model Builder for Predictive Analytics is a tool designed by modelers for modelers," said Mac Belniak, product manager for Model Builder. "Our professional data analysts and modeling experts have found the problems encountered in delivering analytic systems into real operational environments. They have worked with clients, found solutions, and proven the approaches with production data. The result is a combined software and services offering that is unmatched in the industry."

The combination of data analytics, modeling, and policy-level control in Fair Isaac's enterprise decision management software lets companies define and manage their automated business systems for improved efficiency and greater profitability. Fair Isaac offers clients project management, implementation assistance, data analysis, and model preparation in support of their use of Model Builder. Fair Isaac software and services allow an enterprise to quickly implement customized systems that lower operational costs, reduce risk, and provide greater accuracy and consistency of critical business decisions in interactive and batch applications.

About Fair Isaac

Fair Isaac Corporation (NYSE:FIC) is the preeminent provider of creative analytics that unlock value for people, businesses and industries. The company's predictive modeling, decision analysis, intelligence management, decision management systems and consulting services power billions of mission-critical customer decisions each year. Founded in 1956, Fair Isaac helps thousands of companies in over 60 countries acquire clients more efficiently, increase customer value, reduce fraud and credit losses, lower operating expenses and enter new markets more profitably. Most leading banks and credit card issuers rely on Fair Isaac solutions, as do insurers, retailers, telecommunications providers, healthcare organizations and government agencies. Through the www.myFICO.com Web site, consumers use the company's FICO(R) scores, the standard measure of credit risk, to manage their financial health. For more information on Fair Isaac Model Builder, visit www.fairisaac.com/edm.

Statement Concerning Forward-Looking Information

Except for historical information contained herein, the statements contained in this press release that relate to Fair Isaac, including statements regarding its Model Builder for Predictive Analytics 2.1 product offering and the benefits to be derived from this 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, 2003, and quarterly report on Form 10-Q for the period ended March 31, 2004. 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.

Fair Isaac and FICO are trademarks or registered trademarks of Fair Isaac Corporation, in the United States and/or in other countries. Other product and company names herein may be the trademarks of their respective owners.

Fair Isaac Corporation
Angela Carlson, 415-492-5373
acarlson@fairisaac.com