A Comparative Study of Data Quality Management Methods

DOI

10.2991/978-94-6239-602-9_18How to use a DOI?

Keywords

Data Quality; Management Methods; Comparative Study

Abstract

Data quality management is a solution that integrates methodology, technology, business and management. Through effective data quality control measures, data management and control can be carried out to eliminate abnormal and missing data quality issues, thereby enhancing the enterprise’s ability to monetize data. In terms of data quality management, there are many theoretical frameworks related to data quality governance at home and abroad as guidelines for data quality management. This article compares different data quality governance methods and selects the appropriate one in combination with different scenarios.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Gaoqi Dai
AU  - Bingxin Zeng
PY  - 2026
DA  - 2026/03/13
TI  - A Comparative Study of Data Quality Management Methods
BT  - Proceedings of the 2025 7th International Conference on Economic Management and Model Engineering (ICEMME 2025)
PB  - Atlantis Press
SP  - 184
EP  - 191
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-602-9_18
DO  - 10.2991/978-94-6239-602-9_18
ID  - Dai2026
ER  -