• Mohammad Afghanul Khair
• Mohammed Misbahul Khair
• Nusrat Shaheen
• Er. Raghav Agarwal

ABSTRACT In recent years, Human Resources (HR) analytics has evolved significantly, with organizations increasingly leveraging advanced technologies to enhance decision-making, improve operational efficiency, and boost employee satisfaction. The Oracle Human Capital Management (HCM) Cloud stands at the forefront of this transformation, integrating edge computing and the Internet of Things (IoT) to deliver real-time insights. This innovative approach enables organizations to gather and analyse data from a wide range of devices and systems, including wearable technology, sensors, and employee interactions. Edge computing facilitates the processing of data closer to the source, reducing latency and enhancing the speed at which insights are delivered. With the addition of IoT, HR departments gain a more comprehensive understanding of employee behaviour, health, and performance metrics in real-time. This powerful combination allows HR leaders to make data-driven decisions, optimize workforce management, and ensure that employees’ needs are addressed proactively. As the future of HR analytics continues to evolve, the integration of edge computing and IoT into solutions like Oracle HCM Cloud holds the potential to revolutionize the way organizations approach talent management and employee experience.

HR analytics, Oracle HCM Cloud, edge computing, IoT, real-time insights, workforce management, employee performance, talent management, predictive analytics.

"The Future of HR Analytics: Oracle HCM Cloud's Role in Delivering Real-Time Insights through Edge Computing and IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.h697-h711, March-2025, Available :http://www.jetir.org/papers/JETIR2502782.pdf

"The Future of HR Analytics: Oracle HCM Cloud's Role in Delivering Real-Time Insights through Edge Computing and IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. pph697-h711, March-2025, Available at : http://www.jetir.org/papers/JETIR2502782.pdf