Overview of ?Data Quality?: Examining the Dimensions, Antecedents, and Impacts of Data Quality

Competition in the business world is fierce, and poor decisions can bring disaster to firms, especially big data era. Decision quality determined by quality, which refers degree of usability. Data most valuable resource twenty-first century. The open (OD) movement offers publicly accessible for growth a knowledge-based society. As result, idea OD information technology (IT) instrument promoting personal, societal, economic growth. Users must control level their practices order advance these processes globally. Without considering conformity with norms, standards, other criteria, what use it science or practice only sake using it? This article provides an overview dimensions, subdimensions, metrics utilized research publications on evaluation. To better understand we review literature studies systems. We identify antecedents, impacts. In this study, notion “Data Analytics Competency” developed validated as five-dimensional formative measure (i.e., bigness data, analytical skills, domain knowledge, tool sophistication) its effect corporate decision-making performance experimentally examined decision efficiency). By doing so, provide several suggestions, system (IS) researchers leverage when investigating future quality.