Research on Data Quality Management Methods and Technologies

With the rapid development of information technology, big data has become an important strategic resource for enterprises. However, with the increase in data volume, data quality issues are becoming increasingly prominent. Low data quality may lead to enterprises being unable to make accurate decisions, and even bring huge economic losses. This article first discusses the definition of data quality and the dimensions of data quality measurement, and then focuses on the measurement methods and architecture of data quality. It mainly summarizes the data quality comparison mode, technical implementation deployment, and proposes a distributed data quality audit architecture. Finally, it provides the steps and common software implementations for data quality management within the enterprise. In summary, this article aims to explore the significance, solutions, and implementation methods of data quality management, providing an effective theoretical basis for improving the data quality for enterprises.