Equifax and FICO to Launch Data Decisions Cloud
Two consumer credit giants have partnered to launch the Data Decisions Cloud, a new data and analytics suite designed to speed credit decisioning for auto finance sources.

FICO CEO Will Lansing (left) and Equifax CEO Mark Begor created a video to announce the launch of the Data Decisions Cloud, a new platform promising speedier credit decisions for banks and finance companies.
ATLANTA — Equifax and FICO announced the launch of the Data Decisions Cloud, an “end-to-end” data and analytics suite designed to address key needs across risk, marketing, and fraud to enable financial institutions to increase velocity for deploying predictive models.
The Data Decisions Cloud integrates the Equifax Ignite platform differentiated data and analytic management with FICO Cloud applications and the FICO Decision Management Suite, a digital decisioning platform.
“We are energized about this broad partnership between Equifax and FICO. Two industry leaders are joining forces to help financial institutions better meet the needs of consumers and improve business agility,” said Mark W. Begor, CEO of Equifax. “Our partnership will seamlessly integrate Equifax’s differentiated data assets and Ignite platform with FICO’s market-leading cloud based decisioning software and applications.”
Executives said the alignment will enable organizations to easily explore differentiated data, uncover deep new insights, build highly-predictive models and rapidly deploy decisions into production systems across the customer lifecycle. Financial institutions will benefit from an increased pace of innovation for data and decisioning, supported by “incredible” industry expertise and explainable artificial intelligence.
“Our common mission is to empower financial institutions to leverage data-driven decisioning in all their customer interactions,” said FICO CEO William J. Lansing. “With this strategic partnership, FICO and Equifax will help organizations operationalize the best data with unparalleled predictive analytics and applied AI, and do so in a streamlined and cost-effective way.”
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