This paper explores the evolving paradigm of data-driven leadership within the context of contemporary management sciences, emphasizing the integration of analytics, artificial intelligence (AI), and real-time insights in organizational decision-making. Drawing upon the latest empirical evidence and peer-reviewed literature (2023–2025), the study investigates how leaders utilize data tools to enhance strategic clarity, operational agility, and organizational performance. Through a mixed-methods approach comprising statistical modeling, qualitative benchmarking, and case studies across five countries, we identify the key enablers, inhibitors, and impacts of data-driven leadership. The findings reveal that data maturity, AI integration, and leadership analytics capability are central to achieving high-performing and adaptive organizations. We conclude with actionable recommendations for cultivating data-driven cultures and aligning analytic tools with leadership functions.
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