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 itself.
Do work-from-home employees stay longer or perform better? Is it more important to focus on distance to work or walkability when selecting a job site?
Join 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, as they cover cutting-edge research in this area and demonstrate how organizations can leverage data to design workplaces that get the most out of their employees.
What you’ll learn:
- What “big data” and “predictive analytics” really mean and how they are revolutionizing the workforce
- How to get value from the data you already have and identify new data to capture
- Dos and don’ts for launching a data-driven workforce and workplace optimization initiative
- Research-backed answers to fundamental questions about designing workplaces for performance and retention
Tickets are available here.
If you have any questions, please contact Katie Sargent, PR, marketing, and events coordinator, at katie.sargent@workdesign.com.
To view the original webinar listing, click here.