Fast Start — Big data and better workers

Fast Start conversation: New research with large data, known as Big Data, are creating big problems for human resource s (HR) and HR professionals.

Big Data, Trying to Build Better Workers and New York Times’ Steve Lohr, presents a herd of reasons data can bring HR recruiting, training, and retaining enlightenment to change employment bias.

An applicants work history is not a good predictor of future results, for example.

Employers often avoid candidates with a history of job-hopping or have been unemployed for a while – silly HR, you have it wrong, again.

Who says so?

• Wharton School of the University of Pennsylvania’s Center for Human Resources,
• Sloan School of Management at M.I.T.,
• Evolv, and
• IBM Kenexa

All lend insight, with data, big data, around why.

Would you look to make hiring less subjective and more scientific?

Now, is there big data that change the bias that IT and engineering folks from M.I.T. and IBM are personable?

Fast Start — Big data and better workers is a post from: Toby Elwin Copyright ©2013 TobyElwin.com.

Please share freely, but link back to source Toby Elwin - .
Also, connect:

Toby Elwin on LinkedIn | Toby Elwin on Twitter | Toby Elwin on SlideShare