Staffing the right candidate for a job opening is a daunting task. HR personnel typically spend anywhere between a few weeks to several months sourcing applications, evaluating candidates, shortlisting individuals, etc. This effort is tantamount to finding the legendary needle in a haystack. Recruiters and HR teams, as on date, have to still manually sift through tomes of applications to shortlist the right candidates.
Industry averages estimated that HR teams spend up to 85% of their time on such administrative activities, and only c.a. 15% on strategic value-adding activities central to their organizations. Through Big Data Analytics, many of these chores could be automated and holistic evaluation of candidates’ profiles performed by aggregating datasets that cannot be manually performed. Such an approach has the potential to shorten the recruitment cycle and free up the HR departments in many organizations for strategic growth initiatives.