Change management is becoming more and more data-driven but are companies ready? For the most part, the answer is a resounding no. While data science hasn’t completely caught up to change management yet, it is rapidly approaching and companies need to be prepared. Organizations should start collecting the right data now and put their time and resources into their analytics capacity. The key to success is collecting vast diverse data sets that will serve as the information foundation for your predictive models. Digital engagement tools, social media analytics, and well-built dashboards will all play a role in this process.
- In contemporary businesses, the use of data science that takes advantage of large, complex data sets is becoming increasingly important to effectively manage organizational change.
- Innovative tools that account for real-time employee opinions in a holistic manner are replacing traditional employee opinion surveys.
- To understand the external impact of change, tools like sentiment analysis, which looks into the responses of different stakeholders on social media to new information, are becoming important.
“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.”