PaymentsJournal
No Result
View All Result
SIGN UP
  • Commercial
  • Credit
  • Debit
  • Digital Assets & Crypto
  • Digital Banking
  • Emerging Payments
  • Fraud & Security
  • Merchant
  • Prepaid
PaymentsJournal
  • Commercial
  • Credit
  • Debit
  • Digital Assets & Crypto
  • Digital Banking
  • Emerging Payments
  • Fraud & Security
  • Merchant
  • Prepaid
No Result
View All Result
PaymentsJournal
No Result
View All Result

Credit Card Data: Sifting, Sorting, & Selecting

By Brian Riley
March 27, 2019
in Analysts Coverage, Credit, Fraud & Security, Personal Data, Security
0
3
SHARES
0
VIEWS
Share on FacebookShare on TwitterShare on LinkedIn
Credit Card Data: Sifting, Sorting, & Selecting

Credit Card Data: Sifting, Sorting, & Selecting

Remember the Rime of the Ancient a Mariner? Water, water everywhere, nor any drop to drink” said Samuel Taylor Coleridge as a sailor on a troubled ship was surrounded by undrinkable salt water.  It is a lot like a challenge facing the credit card industry today.  So much data, so many customers, so little time.  How do you make sense of all this?

Enter the Data Decisions Cloud, a strategic partnership between FICO and Equifax.  According to FICO, the Data Decisions Cloud integrates with the Equifax Ignite platform and FICO’s Decision Management Suite, a digital decisioning platform.  The joint effort enables credit managers to use best-in-class data and analytic tools to drive better decisioning.

It is interesting to note that Stanford University’s John McCarthy coined the word “artificial intelligence” in 1955, as he was describing a proposal for a research conference. FICO entered the world of predictive analytics in 1956, through the vision of Mr. Fair and Mr. Isaac, the “F” and “I” of FICO.  The two started “Fair Isaac” with a startup fund of $400 each, and the firm has been focused on the science of decision management and analytics.

When asked about the venture between FICO and Equifax, my perspective was:

“We know there is an overwhelming amount of data in the world and we know consumer expectations are on the rise as they demand highly-personalized engagement, in real-time. To compete in this dynamic market, financial institutions need to leverage artificial intelligence, machine learning and predictive analytics to find the key insights that will help them deliver differentiated and profitable customer experiences” and “The Equifax and FICO partnership underscores these trends and should help address the industry’s most challenging problems like streamlining the customer experience, improving data analytic capabilities, and reducing operating costs.”

“There is an overwhelming amount of data in the world, and we know consumer expectations are on the rise as they demand highly-personalized engagement, in real-time. To compete in this dynamic market, financial institutions need to leverage artificial intelligence, machine learning, and predictive analytics to find the key insights that will help them deliver differentiated and profitable customer experiences.”

Today’s WSJ points out:

  • For decades, most U.S. lenders have reviewed loan applicants’ reports and scores to determine whether to approve them and what interest rate to charge. After years of relatively cautious lending, banks and other lenders are seeking additional consumer data to help them make loans to more borrowers, including people with little credit history or with blemishes. Credit-reporting and -scoring firms have been pivoting to address the demand.
  • Deciding which loan applicants to approve is complex. Making risky borrowers look more creditworthy can expose lenders to default risk. Denying someone who additional data might prove creditworthy—like someone who pays their cellphone and other non-loan bills on time—would hurt revenue. Approving a consumer whose credit reports and scores look good but have other hidden red flags, such as minimal savings, would elevate the lender’s risk.

This move is important for Equifax, who is rebuilding itself in many ways since the 2017 data breach, and a relationship with pristine FICO will certainly add to their credibility.  For FICO, it represents another channel to market to the cloud, a technology interaction point that has long been a feature of the company, before the word “cloud” was defined.

Says the WSJ:

  • Equifax and FICO argue that buying their services together will help lenders make underwriting decisions more quickly, especially for borrowers with thin credit histories. They also say that lenders will be able to make more precise decisions about what products to pitch to a customer, such as a plain vanilla credit card versus a premium rewards card, and will be able to better screen people who apply for bank accounts.

Perhaps a tool to plod through all this data.  Big data is never as easy as you might think!

Overview by Brian Riley, Director, Credit Advisory Service at Mercator Advisory Group

3
SHARES
0
VIEWS
Share on FacebookShare on TwitterShare on LinkedIn
Tags: Big DataCreditEquifaxFICO

    Get the Latest News and Insights Delivered Daily

    Subscribe to the PaymentsJournal Newsletter for exclusive insight and data from Javelin Strategy & Research analysts and industry professionals.

    Must Reads

    Reserve Bank of India (RBI) Extends Mandate for Tokenization to June '22

    Late Payments? Governments Are Taking Action

    February 9, 2026
    ai phishing

    The Fraud Epidemic Is Testing the Limits of Cybersecurity

    February 6, 2026
    stablecoins b2b payments

    Stablecoins and the Future of B2B Payments: Faster, Cheaper, Better

    February 5, 2026
    Payment Facilitator

    The Payment Facilitator Model as a Growth Strategy for ISVs

    February 4, 2026
    Simplifying Payment Processing? Payment Orchestration Can Help , multi-acquiring merchants

    Multi-Acquiring Is the New Standard—Are Merchants Ready?

    February 3, 2026
    ACH Network, credit-push fraud, ACH payments growth

    What’s Driving the Rapid Growth in ACH Payments

    February 2, 2026
    chatgpt payments

    How Merchants Should Navigate the Rise of Agentic AI

    January 30, 2026
    fraud passkey

    Why the Future of Financial Fraud Prevention Is Passwordless

    January 29, 2026

    Linkedin-in X-twitter
    • Commercial
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Digital Banking
    • Commercial
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Digital Banking
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    • About Us
    • Advertise With Us
    • Sign Up for Our Newsletter
    • About Us
    • Advertise With Us
    • Sign Up for Our Newsletter

    ©2024 PaymentsJournal.com |  Terms of Use | Privacy Policy

    • Commercial Payments
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    No Result
    View All Result