Author: Favour Oluwadamilare Usman, Ndubuisi Leonard Ndubuisi, Chidera Victoria Ibeh, Ebere Rosita Daraojimba, Chioma Ann Udeh, Akinola Elumakin Elufioye

Doi: 10.26480/faer.01.2024.98.104

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

In the contemporary business landscape, Human Resources (HR) functions are undergoing a transformative shift fueled by the integration of data-driven decision-making processes. This paper presents a comprehensive review of analytics in HR, shedding light on its evolution, methodologies, and strategic implications. As organizations strive to leverage their human capital for competitive advantage, the adoption of analytics in HR has emerged as a pivotal driver of informed decision-making. The review begins by tracing the evolution of HR analytics, from basic reporting to advanced predictive analytics and machine learning applications. It explores the diverse methodologies employed in HR analytics, ranging from descriptive statistics to sophisticated algorithms that can predict employee behavior, attrition, and performance. The paper also delves into the challenges associated with implementing HR analytics, such as data privacy concerns, ethical considerations, and the need for upskilling HR professionals to interpret and utilize analytics effectively. Moreover, the strategic importance of data-driven decision-making in HR is emphasized throughout the review. By harnessing the power of HR analytics, organizations can gain actionable insights into workforce dynamics, enabling them to optimize recruitment processes, identify talent gaps, and enhance employee engagement. The strategic alignment of HR analytics with overall business objectives is highlighted as a key factor in realizing its full potential. Case studies and examples from diverse industries are incorporated to illustrate successful applications of HR analytics, showcasing its impact on organizational performance and efficiency. The paper concludes by outlining future trends in HR analytics, including the integration of artificial intelligence, continuous learning algorithms, and the evolving role of HR professionals in the era of data-driven decision making. Overall, this review serves as a valuable resource for HR practitioners, scholars, and business leaders seeking to navigate and capitalize on the transformative potential of analytics in HR.