The relation between data quality and decision outcomes has been studied extensively in information systems research. In this paper, based on the published literature, a framework is developed that shows the key factors that affect decision outcomes and data quality management in organizations. These factors are differentiated according to their specific impacts: data quality information and process metadata enhance the awareness in the decision maker about the data used in decision-making; TDQM (total data quality management), management experience, and commitment are important factors for overseeing the data; and visualization mitigates information overload for the decision maker.