Data Quality Management and Measurement

Abstract

Information technology and economic society are deeply integrated, which promotes information systems extending from single application and single organization to cooperative management and services crossing level, region, system, department and business, and then causes explosive expanding of data. As data are collected from multiple sources, they are heterogeneous and low-quality, and they are blocking information exchange and interoperation. Data quality problem has become an important factor which seriously hinders the improvement of data analysis and decision support ability. To solve the data quality problem, the most important thing is to manage and measure the quality of data. Base on the existing researches such as quality management and data quality, this paper proposes a data quality management process framework (DQMPF) and a data quality problem and measurement model (DQPMM). Furthermore, taking the international trade document as an example, this paper applies the proposed innovative theories to reveal the document data quality problem.