What is “Machine Learning” and Why Should I Care? A Gentle Introduction for Non-Technical Professionals (Part 1)
Let’s be honest. Many people are tired of hearing about big data, analytics, and all of the other stuff coming along with our massive (but...
What a 19th Century Cholera Outbreak Can Teach Us About 21st Century Analytics
Between August 31st and Sept 2nd, 1854 in the Soho district of London, a cholera epidemic claimed the lives of over 100 men, women, and...
Five Things You Always Wanted to Know About Analytics But Were Afraid to Ask: A Skimpy Primer for Today’s HR/ Human Capital Professional
Don't worry! This is NOT another article about analytics predicting your toothpaste or moving everyone to a higher plane of being. (more…)
Averages: What Do They Really Mean? Part 2
In Part 1, we noted that means work pretty well for many HR analytics measures like salary…unless Bill Gates' salary or a gaggle of entry-level...
Averages: What Do They Really Mean? Part 1
The average (also called the mean) is the single most frequently used measure in analytics. But what happens when Bill Gates or a cluster of...
HR’s Roads Are Paved With Good Intentions. Where Will They Lead?
“There are no side effects, just effects.” – John Sterman, MIT We all know that bad things happen to good people, so many of us divide our...
Focusing on the Actionable with HR Analytics
You just spent an hour in a meeting looking through a deck of figures about your company’s talent. Somehow, though, you feel like you have...
Is Software About to Eat HR?
Billionaire entrepreneur Marc Andreessen once declared that “Software is eating the world,” tightly capturing the economic shifts currently underway in every industry the world over....
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