“You can rely on the data scientist for the details of the statistics. However, it’s important that everyone in workforce analytics has a core understanding, as it is easier to manage your project if you know the basics of analysis.”
—Peter HartmannDirector, Performance, Analytics, and HRIS, Getinge Group
If you are not a data scientist or statistician yourself—and perhaps even if you are—refreshing or familiarizing yourself with the basic analytical methods used in workforce analytics is helpful. The array of statistical methods for exploring data or testing a given hypothesis is not limitless, but the number of methods available can certainly make it seem that way.
Despite the potentially dizzying complexity, many ...