Author(s) :

Kanika Rana.

Volume/Issue :

Abstract :

The research paper titled "Talent Acquisition Metrics and Analytics: Driving Data-Driven Recruitment Decisions" addresses the critical challenge of optimizing recruitment processes through effective data utilization. The objective is to identify key metrics that enhance decision-making in talent acquisition, thereby aligning recruitment strategies with organizational goals. Employing a mixed-methods approach, the study combines quantitative analysis of recruitment data with qualitative insights from HR professionals, facilitating a comprehensive understanding of the impact of analytics on hiring outcomes. The implications of this research are significant; by leveraging data-driven insights, organizations can improve their hiring efficiency, enhance candidate quality, and ultimately drive better business performance. This study contributes to the growing body of literature on talent acquisition analytics, providing a framework for organizations seeking to implement effective metrics in their recruitment strategies.

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