Holmes Murphy needed a solution to manage the complexity of an ever-increasing variety of data sources. Additionally, Holmes Murphy needed a way to reduce human error by codifying its business rules to ensure data consistency.
“Our ultimate goal was to spend less time conforming data and more time performing analytics on it,” Witt said. “We’re given this raw data from our clients and there is certain work that needs to be done to manipulate it into something useful. We needed a solution that could turn the data from multiple data sources — 1,001 sources, specifically — into a format that is easy to digest, control and teach. With our previous systems, there was a high probability of human error in the data consumption cycle, so we needed to put a strategic process in place to ensure accuracy.”