ANALYTICS DRIVEN HUMAN RESOURCE MANAGEMENT

Abstract

This report is an exploratory study on why implementation of Human Resource Analytics has become more prevalent in today’s times and what strategies can be taken up by the organization to have analytics driven human resources management. The application of analytics to human resource (HR) management has been shown to improve business profitability by lowering employment costs, enhancing recruiting quality, enhancing talent retention and employee engagement, and increasing overall productivity. The aim of this qualitative, multi-case analysis was to find out how HR managers use analytics to increase organization results, using the contextually oriented human resource theory as a conceptual basis. The target audience consisted of a carefully selected group of five HR managers from multinational consultancy companies who had prior experience in HR analytics.

Data was gathered via semi-structured interviews conducted over the phone and over the Internet, as well as a scan of business records and websites. Information and thematic analysis are used in the data analysis. The need for HR analytics to comply with corporate strategies, the need for understanding HR metrics and how lessons gained from HR analytics boost business efficiency, HR analytics adoption contributors, and HR analytics adoption hurdles are four concepts that arose from data analysis. An implementation model is also proposed in the report that the managers can use when they plan to incorporate analytics with human resources management in their firm.

The study's conclusions and suggestions will help HR administrators effectively apply HR analytics. Strong social change outcomes include increased job retention, increased growth, and increased stability in local populations, all of which contribute to positive socioeconomic metrics.