SHS Web of Conferences (Jan 2024)

Research on Theory and Practice of Data Quality Management

  • Liang Yundan,
  • Xu Yinghui,
  • Xie Hongbin,
  • Huang Yi,
  • Yang Zhi,
  • Li Chuang,
  • Ge Lianzhu,
  • Jiang Tianying

DOI
https://doi.org/10.1051/shsconf/202418703024
Journal volume & issue
Vol. 187
p. 03024

Abstract

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Data quality management includes both theory and technology, as well as practice and management. Through data quality management, enterprises can obtain high-quality data, which is an important prerequisite for developing data products, providing data services, and realizing the value of data. It is also the core goal of enterprise data governance. This article first reviews and compares the relevant theories of data quality management; Then summarize the data quality practices carried out by typical case enterprises; Finally, based on the theory and practical cases of data quality management, valuable experiences for data quality management are proposed, and prospects for data quality management are presented.