FICO, UCSD Announce Winners of International Predictive Analytics Competition

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SAN DIEGO—November 24, 2010—FICO (NYSE: FICO), the leading provider of analytics and decision management technology, and the University of California, San Diego (UCSD) today announced the winners of the seventh annual UCSD-FICO Data Mining Contest. Participants from six countries on four continents were among the winners who developed predictive analytics to determine which consumers were most likely to shop online.

This year, contestants were given anonymous data for more than 130,000 consumers. The data included no personally identifiable information. Based on that data, competitors built models to predict which consumers were most likely to buy products online. Participants were judged on how accurately they were able to predict future purchases.

The competition was divided into two categories -- one category utilized raw data, and one category utilized transformed data -- and each category had a Graduate and Undergraduate division. The top three finishers in each category and each division shared $10,000 in cash prizes. The winners were:

Undergraduate Division – Raw Data Category
1st place Shivam Juneja, Institute of Engineering and Technology, Bhaddal (India)
2nd place Benjamin Hamner, Duke University (USA)
3rd place Rohan Anil, Birla Institute of Technology and Science, Pilani (India)

Undergraduate Division – Transformed Data Category
1st place Benjamin Hamner, Duke University (USA)
2nd place Harsh Pareek, Chiraag Juvekar and Santosh Ananthakrishnan; Indian Institute of Technology, Bombay (India)
3rd place Rohan Anil, Birla Institute of Technology and Science, Pilani (India)

Graduate Division – Raw Data Category
1st place Quan Sun, University of Waikato (New Zealand)
2nd place Alexey Gorodilov, Moscow Institute of Physics and Technology (Russia)
3rd place Jianfei Wu, North Dakota State University (USA)

Graduate Division – Transformed Data Category
1st place Santi Villalba, University College Dublin (Ireland)
2nd place Jaeyong Lee, Pohang University of Science and Technology (Korea)
3rd place Ilhwan Ko, Pohang University of Science and Technology (Korea)

"Students around the world look forward to the UCSD-FICO Data Mining Contest each year as an opportunity to put the skills they’ve learned in the classroom to use in a rigorous real-world competition," said professor Charles Elkan of UCSD’s Department of Computer Science and Engineering. "It’s been exciting to see the growth of this competition since its inception, with over 140 participants from six continents competing this year. We are proud of all the students who participated, and we appreciate FICO’s ongoing commitment to developing and encouraging the next generation of innovators in predictive analytics."

"We congratulate all the winners on a job well done," said Dr. Andrew Jennings, FICO’s chief research officer and the head of FICO Labs. "Predictive analytics is a rapidly growing field that is changing the way businesses make decisions and develop strategies. Once again, UCSD put on a great competition that encouraged students to utilize their creativity as well as their training in predictive analytics to solve the same type of problems that the world’s biggest companies face every day."

FICO has sponsored the contest since 2004, providing undergraduate and graduate students an opportunity to test their analytic skills in real-world business challenges. Details about the 2010 UCSD-FICO Data Mining Contest are available at: http://mill.ucsd.edu/index.php?page=Main.

About FICO
FICO (NYSE:FICO) transforms business by making every decision count. FICO’s Decision Management solutions combine trusted advice, world-class analytics and innovative applications to give organizations the power to automate, improve and connect decisions across their business. Clients in 80 countries work with FICO to increase customer loyalty and profitability, cut fraud losses, manage credit risk, meet regulatory and competitive demands, and rapidly build market share. FICO also helps millions of individuals manage their credit health through the www.myFICO.com website.

FICO Statement Concerning Forward-Looking Information
Except for historical information contained herein, the statements contained in this news release that relate to FICO or its business 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 the success of the Company’s Decision Management strategy and reengineering plan, the maintenance of its existing relationships and ability to create new relationships with customers and key alliance partners, its ability to continue to develop new and enhanced products and services, its ability to recruit and retain key technical and managerial personnel, competition, regulatory changes applicable to the use of consumer credit and other data, the failure to realize the anticipated benefits of any acquisitions, continuing material adverse developments in global economic conditions, and other risks described from time to time in FICO’s SEC reports, including its Annual Report on Form 10-K for the year ended September 30, 2010. If any of these risks or uncertainties materializes, FICO’s results could differ materially from its expectations. FICO disclaims any intent or obligation to update these forward-looking statements.

FICO is a registered trademark of Fair Isaac Corporation.

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