Design guidelines and process of reference data quality management based on data management body of knowledge

Abstract

The rapid development of technology produces diverse data and information that influences the process of decision making. Therefore, organization needs quality data as a basis for decision making that are accurate and trustworthy. Data quality is an essential supporting factor to process a data in order to produce a valid information that is needed by the company. One of the solutions is data governance process namely data quality management. This becomes the groundwork in the design of a data quality management since it becomes the academic and professional issue. This research focused on the analysis of data quality methodologies with guidelines, process and improve data quality in application or organization based on Data Management Body of Knowledge. This is necessary in order to measure and identify the deficiency and choose the best strategy to enhance data quality so that the company can maintain the consistency of its high-data quality.