Hiring the best people for an organization can make or break its success, but the cost to find, train and retain top talent adds up. Companies can gain an edge by ensuring they match with suitable candidates who want to work for the brand and will remain loyal with predictive analytics.

What Is Predictive Analytics?

Predictive analytics takes massive amounts of data and taps into the power of machine learning to forecast behavior based on patterns in past purchases and user demographics. Some information the system might look at includes buyer age, income levels, browsing and buying behavior, and gender.

A human might need weeks to sort through reports, but a computer can analyze them and spit out results for further brainstorming in a few minutes. Computer-generated analytics tend to find similarities and note small details people sometimes miss.

How Businesses and Recruiting Managers Can Use Predictive Analytics for Hiring

According to Gartner, a mere 21% of HR leaders believe their enterprises utilize talent data effectively in recruiting. Unfortunately, many still use the “who you know” model of hiring. People with a lot of charisma sometimes stroll into positions they aren’t truly qualified for, while candidates with real skills and determination get overlooked due to quieter personalities.

Tapping into the power of predictive analytics frees up managers and recruiters for more in-depth interviews and screening. Those they might otherwise overlook move to the top of the resume pile. Here are the top benefits of using predictive analytics.

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