DATA-ENABLED FINANCIAL LEADERSHIP: INTEGRATING ANALYTICS, ERP, AND MANAGERIAL JUDGMENT IN MODERN FINANCE FUNCTIONS

Abstract The finance function has undergone a profound transformation as organizations increasingly rely on advanced analytics, integrated enterprise resource planning (ERP) systems, and real-time data to support decision-making. While these technologies have significantly enhanced the availability, speed, and precision of financial information, they have also reshaped the role of financial leadership. Modern finance leaders are no longer evaluated solely on reporting accuracy or control effectiveness, but on their ability to translate complex data into strategic insight through informed managerial judgment. This paper argues that data-enabled financial leadership emerges not from technology alone, but from the effective integration of analytics, ERP infrastructures, and human judgment within finance functions. Drawing on management and finance perspectives, the study examines how digital finance environments alter decision contexts and why increased analytical capability does not automatically lead to better decisions. Instead, the quality of financial leadership depends on the ability to interpret data within strategic, organizational, and risk-related contexts. The paper explores the complementary roles of analytics and ERP systems as enablers of financial intelligence, emphasizing their contribution to consistency, transparency, and scalability. At the same time, it highlights the enduring importance of managerial judgment in evaluating assumptions, resolving ambiguity, and balancing quantitative outputs with strategic intent. Without this interpretive layer, data-driven finance risks devolving into mechanistic decision-making disconnected from organizational realities. Building on this analysis, the study proposes an original conceptual framework for data-enabled financial leadership. The framework positions analytics, ERP systems, and managerial judgment as interdependent components of a unified decision architecture. By integrating technological capability with professional judgment, the framework advances a model of financial leadership that enhances decision quality, strengthens governance, and supports sustainable value creation in modern organizations. The paper contributes to the literature on finance leadership and digital transformation while offering practical insights for finance executives navigating increasingly data-intensive decision environments.