Google Searches for Staffing Answers

[EmptyTimCup]

From the WServer Newsletter ....

It's of course to a large degree the management of the rights and privileges that is the key to control in this area, and enterprise-level password management tools are becoming more popular. However, other more sinister things are at hand. Last week I installed a new projector in my office (a new Casio laser-based device which is very sharp) and grabbed a DVD from the house to test with: Steven Spielberg's Minority Report. In the movie, police belonging to a special Pre-crime unit arrest people for crimes they would commit in the future. Sci-fi, and not likely to happen in our lifetimes.

However, guess what I read today in Mike Elgan's newsletter? 'Pre-crime' comes to the HR Department. He claims the pre-crime concept is coming very soon to the world of Human Resources and employee management. Following the current trend lines, social networking spiders and predictive analytics engines will soon be working night and day scanning the Internet and using that data to predict what every employee is likely to do in the future. This capability will simply be baked right in to HR software suites.

In fact, Google is already doing this. The company has software that knows who is going to quit -- even before that person knows. Wow, talk about Big Brother:
Google Searches for Staffing Answers - WSJ.com

Google Searches for Staffing Answers


By SCOTT MORRISON

Concerned a brain drain could hurt its long-term ability to compete, Google Inc. is tackling the problem with its typical tool: an algorithm.

The Internet search giant recently began crunching data from employee reviews and promotion and pay histories in a mathematical formula Google says can identify which of its 20,000 employees are most likely to quit.

Google officials are reluctant to share details of the formula, which is still being tested. The inputs include information from surveys and peer reviews, and Google says the algorithm already has identified employees who felt underused, a key complaint among those who contemplate leaving.

Applying a complex equation to a basic human-resource problem is pure Google, a company that made using heavy data to drive decisions one of its "Ten Golden Rules" outlined in 2005.

 

[BOP]

Thanks for making my blood pressure spike.