Today’s assessment technology has made it easier than ever for companies to pinpoint candidates who most closely match their criteria. The challenge is moving beyond the traditional recruiting processes while avoiding the distractions posed by big data.
Making useful hiring inferences from candidate information requires careful consideration about its source, intention and quality. Knowing where and how information was generated is far more critical to quality decision making than merely attempting to make sense of the information available. Organizations committed to a superior workforce are embracing mature talent analytics that can lead to more precision in hiring decisions.
This white paper introduces a talent analytics maturity model that addresses the challenges, opportunities, uncertainties, and benefits of making advancements in the use of analytics.