Big Data Fintech News

Discover Forms New Internal Data and Analytics Organization

Discover Forms New Internal Data and Analytics Organization

Fintech-like DNA Unit to Advance Data-driven Business Decisions; Effort Will Accelerate Platform and Talent Sharing\

Discover Financial Services, a digital bank and payments provider, announced the formation of a new Data and Analytics (DNA) organization within the company and named newly promoted Executive Vice President Keith Toney as Chief Data and Analytics Officer to lead the unit. Toney joins Discover’s Executive Committee and reports directly to CEO and President Roger Hochschild.

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“These are exciting times to work in technology at Discover, and I am thankful for the support of the company to build an organization that adds business value and brings more great talent to our doors”

“This leading-edge move elevates the critical importance of DNA throughout the organization. The market demands greater business value from our data-driven decision-making across all of Discover’s lines of business and functional areas,” Hochschild said. “Our investment in DNA will furnish us with more insights and solutions that go to the heart of our goal of providing an extraordinary customer experience through our customer service and products.”

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The new unit represents Discover’s commitment to technical advancement in financial services with an emphasis on customer engagement and marketing technologies. It combines several existing functions, such as analytics, data engineering, data science, enterprise data management and enterprise decision platforms.

“These are exciting times to work in technology at Discover, and I am thankful for the support of the company to build an organization that adds business value and brings more great talent to our doors,” Toney said. “Discover’s DNA group will foster a fintech-like delivery culture that builds unique business and advanced analytics, capitalizes on artificial intelligence and machine learning, and integrates effective data and decision engineering. We’re taking the traditional corporate constraints off of our teams and letting them explore new data-centric business solutions.”

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