With its on-premises analytics infrastructure hitting capacity, Cleveland, Ohio-based KeyBank has turned to the cloud, a move the large regional bank believes will provide clear performance benefits and likely cost savings but one that will require rethinking how the company trains and manages its users.
The bank processes about 4 billion records each night. Data is loaded into a Hadoop data lake and is then pushed down to more than 40 downstream systems, including 10 to 12 data marts used by Teradata. “It’s a conventional on-prem architecture that would be current today,” says Mike Onders, chief data officer, divisional CIO, and head of enterprise architecture at KeyBank.
