People/HR Analytics is widely recognized as a powerful tool for transforming human resource management into data-driven decision-making. Organizations acknowledge its strategic value, with 71% of companies identifying people analytics as a top priority[4]. However, a significant gap exists between this recognition and actual implementation. Only 9% of organizations report strong understanding of performance drivers, and just 8% possess usable, high-quality data. This suggests that organizations face multifaceted challenges — organizational, technical, and human — in implementing analytics. This essay systematically analyzes the key barriers to HR analytics implementation through a literature synthesis, focusing on four core challenges: data quality issues, analytics capability gaps, lack of strategic alignment, and organizational culture and resistance to change.
