Data and information quality assessment in information manufacturing systems

Organizations are more and more concerned about the increasing data and information quality issues in their information (manufacturing) systems. These issues have caused various organizational problems such as losing customers, missing opportunities and making incorrect decisions. Recognizing these issues, one of the crucial aspects for organizations to sustain business growth and competitive advantage is to be able to assess data and information quality. However limited research has been done to investigate data and information quality assessment in information manufacturing systems. This paper proposes a model to assess the quality of two major information sources in information manufacturing systems: data stored in database and information products delivered to users. The proposed model is applied to an information manufacturing system and an example database. The research findings have shown that the poor quality of data found in example databases is correlated to the quality of information products perceived by users.