Paper Contents
Abstract
This abstract presents an exploration into the realm of Human Resources (HR) Analytics, offering a thorough examination of its impact on decision-making processes within organizations. The study delves into the multifaceted landscape of HR Analytics, aiming to provide a comprehensive analysis that encompasses its methodologies, applications, and implications for strategic decision-making. Since the epidemic has put everyone in challenging circumstances, every organisation is finding it tough to remain competitive. Enhancing human resource growth and advancement is the only approach to deal with this scenario. The creation, analysis, and storage of enormous amounts of employee data to enable effective decision-making was made possible in large part by HR Analytics. Understanding how investments in human capital assets can help with cost depreciation, risk reduction, revenue generation, and strategy execution is made easier with the use of human resource analytics. The primary goal of this paper is to examine the body of research on HR analytics and how it supports predictive decision-making. The study also looks at the ongoing advancements in HR analytics since these advances are critical to making wise decisions that ultimately lead to an organization's success. Furthermore, the study explores challenges and ethical considerations associated with HR Analytics, acknowledging potential biases and privacy concerns. It also investigates the role of technology, artificial intelligence, and machine learning in advancing HR Analytics capabilities
Copyright
Copyright © 2024 Prof. Dr. Nirmala Kumari. This is an open access article distributed under the Creative Commons Attribution License.
