Evaluating Data Discovery in Decision Making: A Pathway for Organizational Performance
The proliferation of data in contemporary organizational environments has precipitated unprecedented challenges and opportunities for decision-making processes. This paper examines the multidimensional construct of data discovery as a critical antecedent to effective decision making and, by extension, organizational performance. Through a comprehensive theoretical framework, the study interrogates the mechanisms through which data discovery capabilities mediate the relationship between information availability and organizational outcomes. Employing a systematic review methodology, this research synthesizes findings from multiple disciplines including information systems, organizational behavior, strategic management, and data science to develop an integrated understanding of data discovery processes. The analysis reveals that effective data discovery is characterized by four fundamental dimensions: technical infrastructure adequacy, analytical capability maturity, organizational information culture, and governance framework sophistication. These dimensions interact synergistically to determine an organization's capacity to transform data into actionable insights that drive strategic, tactical, and operational decisions. The empirical evidence further suggests that organizations exhibiting high performance across these dimensions demonstrate superior decision quality, efficiency, and adaptability in volatile environments. The paper extends existing theoretical perspectives by introducing a process-oriented maturity model for data discovery capabilities, which delineates the developmental trajectory organizations typically navigate in cultivating sophisticated data utilization strategies.