Integrating data analytics platforms for strategic decision-making in human resource management

In the digital age of transformation, Human Resource Management (HRM) is drastically changing from being intuition-led towards data-driven. The incorporation of analytics platforms like Power BI, Tableau, Microsoft Azure has transformed the way HR works by providing data-driven insights that inform talent acquisition, employee engagement, performance review and strategic workforce planning. The current study explores the applications of analytical tools in HRM to enhance strategic decision-making. Based on case studies from around the world and from Africa (with a focus on Nigeria), the study examines the existing literature to investigate known issues faced in implementing analytics and to provide a comprehensive model of how analytics can be incorporated into HR systems. It emphasizes operational resilience as a critical outcome of analytics integration, enabling organizations to adapt to workforce volatility and economic uncertainties. It includes stakeholder engagement, data governance and change management as critical drivers in achieving uptake. Findings extend recent discussions on digital HR transformation, and provide actionable suggestions for HR practitioners, IT strategists and policy makers endeavoring to establish adaptive data-driven HR systems.