At manufacturer Owens Corning, data scientists have had the rare opportunity to work hand-in-hand with scientists to meld predictive analytics with scientific research to streamline the company’s innovation efforts.
“We don’t typically deal with very in-depth scientific, technical problems,” says Malavika Melkote, director of global information services and the analytics center of excellence at Owens Corning. “We deal with a lot of problem sets that are in marketing, customer supply chain, manufacturing. This was the first time we were doing a project with pure science in the innovation group.”