How Today's Analytics Change Recruiting


HR is late to the analytics game by modern standards, and yet, HR metrics is not a new concept. The difference is that modern analytics enable HR professionals and recruiters to measure more things in less time and derive more insight than ever before.

(Image: Shutterstock)

(Image: Shutterstock)

"If you're looking at recruiting, there have always been metrics such as time to hire and cost per hire, but you're seeing other channels and avenues opening up," said Rosemary Haefner, chief human resources officer at online employment website, CareerBuilder.com.

The "time to hire" or "time to fill" metric measures how many days it takes from the time a requisition is posted until the time an offer is accepted. The longer a position remains open, the higher the cost of talent acquisition. In addition, if a position remains open, an intervention may be necessary to ensure the work at hand is getting done.

If time to fill were the only measure of success, then, in theory, the faster a position is filled, the better. However, as most working professionals have experienced, the person who can be hired the fastest isn't necessarily (and probably isn't), the best candidate.

On the other hand, moving too slowly can cost organizations sought-after talent.

[Read the rest of this post at InformationWeek.com.]

Lisa Morgan, Freelance Writer

Lisa Morgan is a freelance writer who covers big data and BI for InformationWeek. She has contributed articles, reports, and other types of content to various publications and sites ranging from SD Times to the Economist Intelligent Unit. Frequent areas of coverage include big data, mobility, enterprise software, the cloud, software development, and emerging cultural issues affecting the C-suite.

How Today's Analytics Change Recruiting

HR analytics aren't mainstream yet, but they're gaining traction because human capital management is a competitive issue. From recruiting to employee performance and overall HR operations, analytics will have an increasing impact on companies and individuals.

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Need to be careful
  • 12/7/2017 2:23:59 PM
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With the use of analytics comes the mining of information. All of those old tweets and facebook posts will almost surely be reviewed. Let's hope they won't find things that are hard to explain.

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