Human resource managers are currently embracing talent analytics like never before. Companies are evaluating and analysing raw data to derive valuable insights which are helping them to hire the right talent, retain them as well as help them learn and grow internally.
Talent analytics takes into account all the data, rather than limited samples, so a full-fledged picture emerges. It looks for patterns in the data and discovers critical connections that might otherwise go unnoticed. Such data can be related to employees’ pre-employment assessments to background checks to social media profiles.
They also gather data on the characteristics of their most successful employees. When big data is tapped this way, HR managers no longer need to depend on intuitions of interviewers and hiring managers or rely on obsolete hiring tools of yesteryears. Organisations are also leveraging big data to hire and promote top performers who will enable companies to meet with their dynamically changing business needs.
Suhale Kapoor, executive vice president & co-founder, Absolutdata Research and Analytics Pvt Ltd discusses how all this is leading to major trends in the talent analytics space:
Better quality hire and better intra-team collaboration
Organisations conduct validity study of potential employees who appear for interviews, which uses hiring tools like pre-employment assessments and behavioral interviews and compare it with their most successful current employees. Applying talent analytics revolutionises this validity study. Now, instead of limited samples which may be misguiding for the HR, the hiring data for every current employee is considered.