Optimizing the Recruitment Funnel in an ITES Company: An Analytics Approach

Abstract

There is a growing shift from traditional intuition based hiring to data driven hiring process in modern day organizations. This is where analytics comes into picture, which uses a mix of data and intuition to make hiring decisions. This study highlights the fallacies in traditional methods of hiring and emphasizes the need to use analytics in recruitment process in an ITES company. The study showcases bottlenecks in the hiring pipeline of the company using recruitment funnel and uses various metrics to check efficiency of the campus hiring and lateral hiring processes. It also suggests appropriate sources of hiring based on the performance of candidates hired from those sources. Success profiles of employees in the company have been studied by performing correlations between selection parameters and performance scores. Further, recruitment strategy and future roadmap of the company is also provided.