Data science is becoming a reality for change management, and although it may not have arrived yet, it is time for organizations to get ready. The companies best positioned to change in the next decade will be the ones that set themselves up well now, by collecting the right kind of data and investing in their analytics capacity.
The key to building predictive models is knowing what you want to predict and collecting large and diverse data sets that may enable you to do so. Although predictive models for change management are still a ways off, organizations can get themselves on the right path by adopting the right tools and capturing the right data. We see five no-regrets steps that organizations can take.
Author: Michael L. Tushman
Source: Harvard Business Review
Subject: Change Management