Abstract: Organizations invest heavily in people analytics infrastructure yet fail to translate insights into frontline management action. This article examines the persistent "last-mile problem" in human resources: the gap between centralized people data and the managers who need it for daily performance decisions. Despite unprecedented volumes of workforce analytics, structural barriers—data silos, governance hesitancy, and poor contextualization—prevent frontline leaders from accessing actionable intelligence. Research demonstrates that manager effectiveness drives 70% of variance in employee engagement, yet fewer than 30% of managers report having adequate people data to make informed decisions. This article synthesizes evidence on organizational and individual consequences of this gap, examines proven interventions including AI-enabled self-service analytics, contextual delivery systems, and capability-building frameworks, and proposes long-term strategies for democratizing people intelligence. Drawing on cases across technology, healthcare, retail, and financial services sectors, the analysis provides practitioner-oriented guidance for closing the last mile between HR insight and managerial impact.
 

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