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
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 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 analytics
How Data Analytics can Help you Bolster Your Career Performance?
Mobile Advertising, Clustering Algorithms, and Your Ticket for a Free Ride
Benefits of High-Resolution Lidar Data for Data-Driven Companies
Conversica Alternatives: AI Assistants for Marketing Teams
5 Massive Ways that Big Data Affects Recruitment

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

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

5 Lessons Social CRM can Learn from CRM

8 Min Read

A Record Named Duplicate

7 Min Read

Is Cloud Computing Hurtling Towards Disaster?

4 Min Read

The Data Quality Goldilocks Zone

6 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
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?