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
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 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

data protection guide
What Role Does Breach and Attack Simulation Play in Data Protection?
Why Security Validation Is Vital As Organizations Become More IoT Driven
5 Step Process For Insightful Data Driven Business Decision Making
Recommended read: The Predictioneer’s Game
Using Analytics for Your Blog Marketing Strategy in 2021

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

composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News
edge networks in manufacturing
Edge Infrastructure Strategies for Data-Driven Manufacturers
Big Data Exclusive
data mining to find the right poly bag makers
Using Data Analytics to Choose the Best Poly Mailer Bags
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The Problem with the Relational Database

5 Min Read

Perfect Data and Other Data Quality Myths

5 Min Read

Is Consulting Worth the Money?

4 Min Read

removed post

0 Min Read

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

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?