• Anju Sharma
• Dr. Kapil Kumar

Human Resource (HR) Analytics has emerged as a transformative a tool for improving strategic planning and decision-making within organizations. This study examines HR Analytics in India by conducting a sector-wise analysis, with a particular emphasis on the IT, Financial, Manufacturing, Retail, and other sectors. The objective of this research is to offer an exhaustive analysis of the ways in which various industries utilize HR Analytics to enhance workforce management and optimize organizational performance. Data from 424 organizations was examined. The methodology employed a quantitative approach, using structured questionnaires to collect data from HR professionals in various sectors. The sample was stratified to guarantee that it encompassed the primary sectors: IT, Financial Services, Manufacturing, Retail, and Others. Trends, challenges, and sector-specific applications of HR Analytics were identified through statistical analyses. The study suggests a comprehensive analysis of the extent to which HR Analytics is being implemented in these sectors, with an emphasis on the effects it has on critical HR functions, including strategic planning, performance management, employee retention, and recruitment. Furthermore, it endeavors to identify sector-specific best practices and obstacles associated with the implementation of HR Analytics. Findings are expected to provide organizations that are interested in improving their HR strategies through data-driven approaches with valuable insights.

HR Analytics, Sector Analysis, IT Sector, Financial Service, Manufacturing Sector, Retail Sector

"Sectoral Analysis of HR Analytics in India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.g234-g247, August-2022, Available :http://www.jetir.org/papers/JETIR2208630.pdf

"Sectoral Analysis of HR Analytics in India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppg234-g247, August-2022, Available at : http://www.jetir.org/papers/JETIR2208630.pdf