HR Metrics and Workforce Analytics: Leveraging Data for Strategic Human Resource Management
Year: 2018
Type: article
Abstract: In the modern business environment, organizations are increasingly turning to data-driven strategies to enhance their human resource management practices. HR metrics and workforce analytics have become crucial tools for measuring the effectiveness of HR strategies, improving decision-making, and aligning human capital with organizational goals. This paper examines the role of HR metrics and workforce analytics in optimizing HR practices, from talent acquisition to employee engagement and retention. The paper explores key metrics, tools, and technologies used in workforce analytics, such as predictive analytics, employee sentiment analysis, and performance metrics. Additionally, it discusses the challenges and limitations organizations face when implementing workforce analytics, including data privacy concerns, integration challenges, and the need for a culture of data-driven decision-making. By reviewing best practices and case studies, the paper provides actionable insights into how HR metrics and analytics can be utilized to drive organizational success.
Author: Hira Nawaz
Institution: Government College University, Faisalabad
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7219983188