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FICO Awarded Eight New Patents for Inventions in Credit Scoring, Fraud Detection and Predictive Analytics
MINNEAPOLIS, Sep 20, 2011 -- FICO (NYSE: FICO), the leading provider of analytics and decision management technology, announced that it has been awarded eight new patents by the U.S. Patent and Trademark Office.
The new patents in credit scoring cover:
- An algorithm used to explain the primary factors influencing a credit score based upon a rich data feed. FICO's myFICO(R) website uses this technology to offer consumers and clients in the financial services industry insight into how consumer credit data is used and evaluated when calculating a FICO(R) Score.
- An enhancement to the FICO(R) Credit Capacity Index(TM) that models the impact of future actions on a consumer's subsequent credit risk.
- A new system for predicting, detecting and managing financial transaction device fraud using mass compromise analytics. The system detects suspected compromise events, defines clusters of potential compromised credit cards, and enables specialized analysis or monitoring on a cluster-by-cluster basis. Using this, card issuers do not need to cancel or re-issue entire pools of compromised cards unless the cluster of potential cards shows indications of being used fraudulently. This technology will bolster FICO's industry-leading fraud detection and prevention suite, FICO(TM) Falcon(R) Fraud Manager, and is likely to save card issuers millions of dollars.
- A new system that delivers enhanced identity fraud protection as part of FICO(TM) Falcon(R) Fraud Manager for credit card issuers, credit-granting retailers, telecommunications carriers, full service banks, other credit grantors and their customers. This detection system uses newer, more powerful neural networks to identify, monitor and take action on potentially fraudulent cases.
- A new system and method to monitor and detect anomalous transaction activity in telecommunications networks to detect misuse and provide solutions to resolve errors or reduce fraud.
- Analytics that explore patterns in customer purchase behavior across time. This technology analyzes large-scale customer purchase transaction data to reveal the complex relationships between consistent product combinations that customers buy and the context in which they buy them. This information can illuminate specific lifestyle and life event-related buying tendencies that are often overlooked.
- A system that helps databases integrate information regarding communications with business enterprises, efficiently sorting and storing such information as well as accessing and reporting it in a variety of formats. This will help businesses better understand which communications channels to use to connect with their customers, according to their preferences, improving the power and ROI of marketing and other efforts.
- A methodology that efficiently transforms large or complex decision trees into compact, optimized representations. This makes decision trees significantly easier to view and use, and is part of the FICO Decision Graph feature embedded in FICO(R) TRIAD(R) Customer Manager and the forthcoming release of FICO(TM) Blaze Advisor(R) business rules management system.
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