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Background:
Organization in this era are looking at new ways to use analytics related to Human
resources these days. They are spending a good amount of budget by allocating it to
HR technology so that they can make better hiring decisions, can retain their employees
and eventually use HR analytics for formulating business strategies. While all this will
give companies an edge, many organizations face hindrances and obstacles with
obtaining the right data. Thus, those who are directly involved with hiring decision
struggle as they don’t know to best use the data that was obtained.
Josh Bersin, president and CEO of Oakland, Calif.-based consultancy Bersin and
Associates stated. “HR teams are not very analytical in their thinking yet, that is holding
them back from doing more data-driven decision making.”
On another note, New York City-based Buck Consultants, has a similar opinion. Thomas
said it can be difficult for HR managers to get away from “gut-feeling” decision making.
As Stacey Harris, vice president of research for Sierra-Cedar, told SHRM Online, “You
can’t do ‘big data’ with Excel. It’s just not going to work.” She added that most
Research Prospectus- Big data and HR