Advancing workforce analytics and big data for decision-Making: Insights from HR and pharmaceutical supply chain management
Abstract
The integration of workforce analytics and big data has emerged as a transformative approach to enhancing decision-making in modern organizations. This paper explores workforce analytics's foundational principles and evolution in human resource management, highlighting its impact on employee performance, talent acquisition, and retention strategies. It further examines the role of big data in optimizing pharmaceutical supply chains, addressing inefficiencies, forecasting demand, and ensuring product availability while navigating ethical and compliance considerations. The study underscores the synergies between these domains, emphasizing shared methodologies, cross-functional analytics, and the transformative potential of emerging technologies like artificial intelligence and machine learning. Organizations can achieve strategic alignment, operational efficiency, and resilience by harmonizing workforce management and supply chain optimization. Recommendations are provided for stakeholders to adopt a holistic, data-centric approach, leveraging advanced tools and fostering cross-functional collaboration to drive sustainable growth and innovation.
How to Cite This Article
Charles Elachi Apeh, Chinekwu Somtochukwu Odionu, Bernadette Bristol-Alagbariya, Richard Okon, Blessing Austin-Gabriel (2024). Advancing workforce analytics and big data for decision-Making: Insights from HR and pharmaceutical supply chain management . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(1), 1217-1222. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.1.1217-1222