Abstract:

Data has become a factor asset for governments and enterprises in the digital era, and data quality is one of the major tasks to build data asset. In this paper, the concept of data quality and the traditional “six dimensions” methodology are systematically reviewed, and a “business-centered authenticity” principle for data quality management is suggested and elaborated with practical cases. The paper also proposes an integrated data computing strategy of building accurate and credible data assets.

Key words: data governance, data asset management, data quality, data processing