MIT Sloan School of Management
The COVID-19 pandemic has disrupted everything from consumer behavior to supply chains, and the economic fallout is causing further changes. The data analytics field faces a complicated problem: how to use past data, and predict future behavior, in the face of uncertainty. Few organizations are facing business as usual or as expected.
“It’s hard to get good data about the future, so we have to use data from the past,” said Thomas Davenport, a professor at Babson University and fellow at the MIT Initiative on the Digital Economy. “And if the past is no longer a guide to the future, we’re going to have a tough time doing any sort of predictive analytics.” Full Article