implementierung von data analytics im hr

2
HR Data Analytics The Magic of Big Data: ‘TADA’

Upload: torben-haagh

Post on 30-Jul-2015

102 views

Category:

Presentations & Public Speaking


2 download

TRANSCRIPT

Page 1: Implementierung von Data Analytics im HR

HR Data Analytics

The Magic of Big Data: ‘TADA’

Page 2: Implementierung von Data Analytics im HR

HR Data Analytics

It’s not magic; throughout history, those with the greatest resources won the battles through better planning and execution. It’s the same today with Big Data. In this ever-changing world, those with data are better equipped for success.

There is no division with a more compelling reason to lead these efforts than Human Resources, with its critical role in the development of strategy, strategic workforce planning, and just as importantly, in the shaping of the culture. While the well-equipped win the battles, often times it is the entity with the most loyal followers that wins the war! In leading this effort, one should remember: The term Big Data can be intimidating and to some often implies ‘big brother is watching.’ Avoid it whenever possible. Focus on ‘meaningful data’ that allows you to plan and manage your future. The perceptual difference can make a world of difference.

In reviewing our Succession Planning status for officer positions at FedEx a few years ago, our data indicated we had a significant number of positions at risk of being vacated and approximately the same number without a replacement identified. This created an initial sense of urgency to develop additional employees quickly, which would have led us down an unnecessary and most likely self-destructing path. The reality was that there was a very small number of positions that were at risk of becoming vacant and that did not have a replacement named. The problem to be addressed was not how we develop others quickly, but rather how do we retain the current high potentials with limited career opportunities.

So how do we use data? If all companies had access to the same data, some would fail while others would thrive. Why is that? How an organization manages each of the four key factors associated with data makes the critical difference:

“TA DA”

www.ehrm-konferenz.de