In our new study "Artificial Intelligence for Recruiting Success," we discussed ways that new technology can save us time and effort while attracting a better pool of job candidates. In this article, we'll explore the benefits and uses of predictive analytics.
Basically, predictive analytics is the process of looking at past data in order to determine what will happen in the future. Machine learning automates much of this activity, freeing up recruiting professionals for higher level work of in-person interviews, decision making, and so on.
Programmed with your data on production performance and behaviors, attrition, employee life cycle, engagement surveys and any other metrics you choose, predictive analytics software can be "trained" to look for your ideal employee. It can scan all the available candidate sources, as well as discovering overlooked talent in your existing applicant database.
The longer you use it, the better it works, as it learns...