TU München Professors Win Operations Research Award for Work Using FICO Optimization Software

MUNICH —July 25, 2013 — FICO (NYSE:FICO), a leading predictive analytics and decision management software company, today announced that their academic partners from the Technische Universität München have received the EURO Excellence in Practice Award 2013 for work using the FICO^® Xpress Optimization Suite. Professors Peter Gritzmann, Andreas Brieden and Dr. Steffen Borgwardt received the award for their work on “Geometric Clustering for the Consolidation of Farm- and Woodland.” The award was presented in Rome on July 4 at a conference organized by the operations research associations EURO and INFORMS.

The Technische Universität München has been a FICO Academic Partner since 2005, using the FICO Xpress Optimization Suite in teaching and research – including the work of optimizing the model for this award-winning project.
"The problem of land consolidation is emotionally very rewarding, as it helps individual farmers and entire rural regions to survive economically," said Peter Gritzmann, "But it is also mathematically exciting, since it is extremely challenging and requires deep new mathematics and algorithms. Additionally, this research paves the way for fascinating new applications in the analysis of Big Data. Naturally, the mathematical models and ideas could not be brought into the reality without an extremely powerful optimization workhorse like FICO Xpress."

Professors Brieden and Gritzmann have already successfully developed extended and specifically customized models for several problem areas, including insurance loss prediction, maintenance prediction, and shipping logistics. The foundations of their algorithms are deep geometric insights that lead to high-quality segmentation of big data. Part of what makes their work particularly interesting for practitioners is the fact that it is a non-black-box algorithm which works with small setup costs and has high predictive power.

"This groundbreaking work shows how mathematics can drive innovation in areas all across business and society," said Oliver Bastert, product manager for FICO's optimization software. "As just one example, Gritzmann and Brieden developed a method of insurance loss forecasting that overcomes the weaknesses of today's standard method, GLM, while simultaneously delivering a significant uplift in profitability."

The Institute for Operations Research and the Management Sciences (INFORMS) is the largest professional society in the world for professionals in the field of operations research, management science and analytics. EURO is the the Association of European Operational Research Societies.

Sobre a FICO
FICO (NYSE: FICO), formerly known as Fair Isaac, is a leading analytics software company, helping businesses in 80+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. O uso inovador que a empresa faz do Big Data e de algoritmos matemáticos para prever o comportamento do consumidor está transformando setores inteiros. A FICO fornece software analítico e ferramentas utilizadas em vários setores para gerenciar riscos, combater a fraude, construir relacionamentos mais rentáveis com os clientes, otimizar operações e cumprir regulamentações governamentais rigorosas. Muitos de nossos produtos são adotados em todo o setor, como o FICO^® Score, a medida padrão de risco de crédito ao consumidor nos Estados Unidos. As soluções da FICO utilizam padrões de código aberto e computação em nuvem para maximizar a flexibilidade, acelerar a implementação e reduzir os custos. A empresa também ajuda milhões de pessoas a gerenciar sua qualidade de crédito pessoal. FICO: Make every decision count™.

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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, 2012 and its last quarterly report on Form 10-Q for the period ended March 31, 2013. 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.

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