Applying Predictive Analytics to Decisions about your Workplace
The principles of big data, workforce science, and predictive analytics are helping companies understand drivers of worker performance in ways only dreamed about before. Yet many organizations haven’t fully realized that big data and predictive analytics can also help them optimize decisions about the workplace, as well. Do work at home employees stay longer and/or perform better? Is it more important to focus on distance to work or walkability when selecting a job site? Join us as Michael Housman, workforce scientist and chief analytics officer at Cornerstone OnDemand, and Andrew Knight, PhD, assistant professor of organizational behavior at Washington University in St. Louis, cover some of the cutting edge research from this arena, and show you how to leverage the power of data to design your workplace in a way that gets the most out of your employees.
What you’ll learn:
- Learn what “big data” and “predictive analytics” are all about and how they’re revolutionizing the workforce
- Learn how to get value out the data you already have and identify new data to capture
- Hear dos and don’ts for launching a data-driven workforce / workplace optimization initiative
- Be exposed to cutting edge research and answers to some fundamental questions about how to design a workplace that gets the most out of your employees
To access the site where the webinar was originally posted, click here.