Factor Analysis of Critical Success Factors for Data Quality

Data quality issues impact an organization’s information system. Dirty data can damage every aspect of a business. In order to ensure data quality in information systems, it is important to understand the underlying factors that influence data quality. A research model was built based on the literature and previous case studies. In order to further develop and testing the research model for critical success factor for data quality in information systems, a large scaled survey was conducted and factor analysis were performed on the result of the survey. This paper provides a more scientific foundation for the research model of critical success factor for data quality. The study has theoretical and practical contributions to the field of data quality and information systems management.