HRIS SOLUTIONS FOR WORKFORCE OPTIMIZATION: LEVERAGING SCALABLE ARCHITECTURES

Author(s)	Rajender Bhukya
Country	India
Abstract	Human Resource Information Systems (HRIS) have emerged as critical tools in managing workforce dynamics, integrating functionalities such as payroll, employee engagement, and workforce analytics. Despite advancements, achieving scalability, real-time data processing, and seamless integration remains a challenge. This research explores scalable HRIS architectures, focusing on AI-driven insights, robust CI/CD pipelines, and multi-modal trust frameworks to enhance workforce optimization. Using Jenkins and Kubernetes for deployment, the study demonstrates improved operational efficiency, reduced downtime, and enhanced employee satisfaction. Quantitative and qualitative analyses validate the effectiveness of these architectures, offering a blueprint for future HRIS developments.
Keywords	HRIS, Workforce Optimization, Scalable Architectures, AI Integration, CI/CD Pipelines
Field	Engineering
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-13
Cite This	HRIS SOLUTIONS FOR WORKFORCE OPTIMIZATION: LEVERAGING SCALABLE ARCHITECTURES - Rajender Bhukya - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32977
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.32977
Short DOI	https://doi.org/g8wkk6

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International Journal For Multidisciplinary Research