In this episode of Talking Talent, we’re talking about how you can use predictive analytics to make your recruiting funnel more efficient and hire top talent, faster.
Our guest is Allison Brigden, Global Leader of Innovation and Support at PeopleScout. Allison has been with the company for more than 20 years, and in that time, she has gained a wealth of knowledge through implementing and managing complex RPO engagements. In her current role, Allison oversees PeopleScout’s AffinixTM technology. Affinix is a mobile-first, cloud-based platform that creates a consumer-like candidate experience and streamlines the sourcing process. Allison has been instrumental throughout the development and rollout of Affinix.
In this tightening talent market with unemployment rates at record lows, predictive analytics is emerging as an essential AI tool for employers looking to stay ahead of the competition. Predictive analytics allows employers to use the power of data to make predictions about candidates and drive efficiencies throughout the entire talent acquisition process.
Predictive analytics is a type of data analytics that uses data to find patterns and then uses those models to attempt to predict the future. Predictive analytics can’t tell you what will happen, but it shows what is likely to happen based on past trends. It’s as close as employers can get to predicting the future.
The ability to make these predictions helps shorten the entire recruiting process while making stronger hires. In a competitive talent market, this allows employers to identify the top talent for a particular role and make an offer to the best candidates faster than the competition. For employers, this results in improvements in time-to-hire and quality-of-hire, and for candidates, it builds a better experience, leaving a positive impression that will factor into their decision to accept an offer.
In this podcast episode, Allison covers how predictive analytics can be used during the sourcing process, how it can be used throughout the recruitment funnel and what employers should consider when implementing a predictive analytics tool.