AI-Driven HR Analytics: Unleashing the Power of HR Data Management

Ramesh Nyathani ()

Journal of Technology and Systems, 2023, vol. 5, issue 2, 15 - 26

Abstract: The rapidly evolving landscape of Human Resources (HR), begins by emphasizing the significance of HR analytics, underlining its evolution and the advantages it offers through data-driven decision-making. The paper establishes the foundation of effective HR analytics, highlighting the importance of employee data management, including collection, storage, quality assurance, and governance of all kinds of employee data. AI's transformative role takes center stage, showcasing how AI enhances employee data processing and analysis. Real-world best practices illustrate the potential of AI-driven HR analytics, while the AI-driven HR Analytics Workflow dissects the essential steps involved. Ethical considerations are emphasized, addressing bias, data privacy, and responsible AI governance. The paper also looks to the future, discussing emerging trends and the evolving role of HR professionals in an AI-driven HR landscape. It encourages organizations to embrace AI-driven HR analytics as a strategic tool for HR excellence, highlighting the importance of responsible data use in shaping the future of HR practices.

Keywords: AI; HR Data; Employee Data; Human Resources; HR Technologies; Digital; HR Analytics (search for similar items in EconPapers)
Date: 2023
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