As evidenced by the proliferation of analytics solutions, the appetite for data to help leaders innovate and make smarter decisions is, without question, voracious and growing. The challenge (as always) is harnessing meaningful insights from data and using those insights to gain a competitive advantage. The findings from this research report provide direction for HR leaders looking to prioritize their analytics strategies and initiatives to effect the greatest talent outcomes.
Having the right talent strategy is a top priority for CEOs who need to drive innovation and transformation to grow in an increasingly complex, competitive business landscape. HR leaders rely on analytics to inform, measure, and refine their strategies. Given the cost of personnel and the relentless competition for talent, the stakes are high for HR leaders to deliver.
Artificial intelligence (AI) and machine learning (ML) are fueling HR’s rapid analytics advancement with capabilities to predict high-performing recruits and identify at-risk talent. As HR organizations mature in their analytics capabilities from descriptive to diagnostic to predictive and prescriptive,the key challenges will be interpreting and acting on the data to solve issues and effectively advise business leaders. Having the data is not the same as being able to use it effectively.