Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: FICO: Stretching beyond credit scores
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Exclusive > FICO: Stretching beyond credit scores
Exclusive

FICO: Stretching beyond credit scores

StephenBaker2
StephenBaker2
3 Min Read
SHARE

 

When I was working on my book, I stopped by the Fair Isaac research labs in San Rafael, Calif. After all, when it came to modeling individuals through their data, Fair Isaac (now FICO) was a pioneer. It practically invented credit-risk scoring.

In its work for banks, FICO fine-tuned the champion-challenger testing that’s now rampant on the Internet. It would try hundreds of different offers with different pools of customers, eventually coming up with something close to a customized come-on for each address. This turned the traditional credit risk market on its head. Instead of people struggling to meet a bank’s inflexible standards, the bank fitted its offer to the customers. High risk customers, in theory, weren’t blocked out. They simply had to pay more to insure against failure. (I write “in theory,” because during the last bubble, the second part of the formula–ie. paying more–was obscured by financial gimmickry, leading to disaster.)

More Read

ai underscores risks of passwordless authentication
AI Underscores Passwordless Authentication Risks for Internet Users
Empirically Proven Data Collection Tactics for Web Administrators
El Festival del IDQ Bloggers (April 2009)
Can Big Data Solve The Student Loan Crisis? Here’s What To Know
Data Recovery Services Are Crucial in the Big Data Era

Now that these analytic methods are stretching across the economy, FICO is doing some stretching of is own–offering models, simulations and optimizations of businesses and their operations. Customers include…


 

When I was working on my book, I stopped by the Fair Isaac research labs in San Rafael, Calif. After all, when it came to modeling individuals through their data, Fair Isaac (now FICO) was a pioneer. It practically invented credit-risk scoring.

In its work for banks, FICO fine-tuned the champion-challenger testing that’s now rampant on the Internet. It would try hundreds of different offers with different pools of customers, eventually coming up with something close to a customized come-on for each address. This turned the traditional credit risk market on its head. Instead of people struggling to meet a bank’s inflexible standards, the bank fitted its offer to the customers. High risk customers, in theory, weren’t blocked out. They simply had to pay more to insure against failure. (I write “in theory,” because during the last bubble, the second part of the formula–ie. paying more–was obscured by financial gimmickry, leading to disaster.)

Now that these analytic methods are stretching across the economy, FICO is doing some stretching of is own–offering models, simulations and optimizations of businesses and their operations. Customers include Coca-Cola and Best Buy. I recently discussed FICO’s “business rules management” with Don Griest, senior director of product management at the company. I tried out a new phone jack for the podcast. See what you think.          


Listen to the podcast:


 

TAGGED:data modelingdata qualityficorisk management
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

fda14abd c869 4da5 943c c036ad8efc2e
How Data-Driven Journalists Are Using API News Apps to Improve Reporting
Big Data Exclusive News
0622cae5 f7d7 4f74 84b5 eabd1a823dca
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
Big Data Exclusive
business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

#21: Here’s a thought…

7 Min Read

5 Lessons Social CRM can Learn from CRM

8 Min Read

Are You Afraid Of Your Data Quality Solution?

4 Min Read

Sun Tzu and the Art of Data Quality (Part 3)

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?