Author(s): Xenira Molt
Enterprise Data Architecture (EDA) has emerged as a critical foundation for organizations seeking to leverage data as a strategic asset in an increasingly digital and data-driven business environment. This article examines the role of enterprise data architecture in enhancing strategic outcomes by enabling efficient data integration, governance, and accessibility across organizational functions. It explores how modern data architectures, including data lakes, data warehouses, and cloud-based platforms, support advanced analytics and informed decision-making. The study highlights the impact of data quality, interoperability, and governance frameworks on organizational performance and competitive advantage. Furthermore, it discusses the challenges associated with implementing enterprise data architecture, such as complexity, data security, and organizational resistance. The findings suggest that organizations with well-designed data architectures can improve operational efficiency, enhance strategic alignment, and achieve sustainable growth in dynamic markets.