How to deliver high quality analytical and operational data: 3 best practicestricentis.com 2 © 2022 Tricentis USA Corp. All rights reserved | In a game of baseball, a fielder receives an error for failing to convert an out on a play that an average fielder should have made. Typically, shortstops and third basemen make errors since they must deal with tricky ground balls or throws across the diamond. In much the same way that errors are bad for baseball, they are also just as hazardous when they cause problems in the data game. Perhaps your company’s players are losing at the game? The increased complexity, volume, and flows of enterprise data have introduced unique data quality challenges. With reams of data flowing through a constantly evolving application and analytics ecosystem,

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