Big data’s popularity isn’t difficult to understand. Busy executives are confronted with more raw information than ever before and are expected to make sense of it all and put it to use. Without sophisticated data mining techniques and decision analytic models they would be setting themselves up to fail. But Phil Rosenzweig, a strategy and international business professor at the International Institute for Management Development (IMD) writing for McKinsey & Co., worries that some executives may be too reliant on predictive models.
Big Data was popularized by Moneyball and the success of the Oakland A’s under general manager Billy Beane, but not everyone has been sold on the idea that statistics drive the game of baseball. Two-time MVP Joe Morgan insisted that “players win games, not theories.”