CEO Greta Roberts debunks the myth that high engagement leads to high performance and provides six reasons businesses need to stop using employee engagement as a measure of business success.
The Fact Based Talent Advisor
Commentary, customer examples and contemporary research that further our mission. Leading the charge to utilize numbers to add people to business optimization efforts.
January 11, 2016
January 4, 2016
Using a traditional quick win approach to predictive analytics projects can present some challenges. Talent Analytics CEO Greta Roberts discusses these challenges & offers a better approach.
December 15, 2015
We recently completed two analytics studies quantitatively analyzing sales rep. performance. We analyzed performance over time – both before & after training is completed. Read on for our findings.
October 28, 2015
The same data science approaches used by lenders and creditors are immensely useful for predicting employee performance – pre-hire – before it’s too late. CEO Greta Roberts explains why.
October 14, 2015
Feeling pressure to start predictive from your execs but don’t know where to begin? Read The Beginner’s Guide to Predictive Workforce Analytics by Talent Analytics CEO Greta Roberts.
October 9, 2015
There’s significant momentum around predictive workforce topics and we wanted to share some data points underscoring the dramatic growth of this exciting topic over the past few months.
October 5, 2015
Listen to the podcast for beginners looking for a non-technical intro to predictive workforce analytics. Featuring Talent Analytics, Corp. CEO Greta Roberts.
August 20, 2015
In this blog we introduce Winning Roles predictions, an innovative approach to predictive succession planning and hiring now available in Advisor by highlight an example from the movie Moneyball.
August 7, 2015
Are you a data scientist with a great predictive workforce story and results you’d like to share? Submit your proposal to speak at PAW Workforce 2016! Deadline 9/18/15.
July 15, 2015
CEO Greta Roberts advises HR leaders and any function to stop hiring data scientists until they are ready to do real data science.