Tag Archives: Analytics / Scoring Technology

Risk & Compliance FICO Receives Analytics 50 Award for FICO Score XD

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Nov032017

Drexel University’s LeBow College of Business and CIO.com have named analytic software firm FICO a winner of the Analytics 50 Awards for the second year in a row. The awards program honors organizations using analytics to solve business challenges.  FICO received the award for FICO® Score XD, which leverages groundbreaking analytic technologies and alternative data to help safely and responsibily expand credit access. For more information check out the full award article. Led by Radha Chandra, principal scientist in the Scores business unit at FICO, the FICO analytic development team posed the question: Can alternative data expand credit access?  After extensive research and validation, FICO launched FICO Score XD.  Through the development of FICO® Score XD, FICO provides a potential onramp to credit access for the majority of 50+ million Americans who are identified as ‘unscorable’. In addition to traditional credit data, FICO® Score XD consumes alternative data from telco,... [Read More]

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Analytics & Optimization Using Alternative Data in Credit Risk Modelling

Aug292017

“Whenever I bring up the topic of alternative data, the first question our board asks is, ‘Are we using Facebook data?’ “ This comment from a participant in our recent EMEA Risk Leadership Forum caused a lot of chuckles and nodding heads. When it comes to evaluating credit risk, everyone wants to know if, when and how lenders will start probing their Facebook account. For reasons that will be obvious to lenders, that tantalizing possibility doesn’t actually top the list of data sources to mine. In fact, at the forum we explored a few sources of data that can add to the picture of a consumer’s creditworthiness. Multiple Types of Alternative Data What is alternative data? In credit granting, it generally refers to any data that is not directly related to a consumer’s credit behavior. Traditional data usually means data from a credit bureau, a credit application or a lender’s... [Read More]

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Fraud & Security Cybersecurity: To Be (Empirical), or Not to Be?

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Aug022017

That is the question for cybersecurity risk assessment. FICO has been in the analytics business since our inception back in 1956.  Our founders, Bill Fair and Earl Isaac, had the novel idea that businesses could make better decisions through data. Before anyone thought to call the resulting algorithms “analytics,” they set off to create game-changing approaches to correlating signals with outcomes to help companies manage risk, reduce expense, and maximize opportunities. Bill and Earl began looking for problems they could solve through an empirical analysis of data, and credit underwriting was a use case that was well-suited to the technique. Most credit-granting organizations had credit applications tucked away in filing cabinets (a source of consistent signal data), and most also had a reasonable handle on outcomes – i.e., who was managing credit to terms and who was in arrears or in default. The ability to relate data known at the time of the... [Read More]

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Analytics & Optimization The Future of Analytics: The Revolution Will Be Unstructured

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Jun052017

Although there has been much speculation over this statistic’s origin, most industry experts agree that 80% to 90% of the world’s data is unstructured data, and about 90% of it has been produced over the last two years alone. Of these unthinkably vast stores, only 0.5% is effectively analyzed and used today. In the business world, most unstructured data lies in customer-related text, which is abundant and available. However, most organizations don’t know how to efficiently extract predictive elements from unstructured customer data. They’re not sure how to reap the value of these insights by using them to boost the performance of predictive analytics, and make better operational customer decisions. But, done right, extracting valuable predictive insights from huge quantities of text takes just seconds. The Future Is Unstructured The tech industry is full of predictions, but in this one, I have high confidence: The future is unstructured –– because... [Read More]

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