基于智能化数据探索的数据质量管理方法

The method of data quality management based on intelligent data exploration

数据作为推动经济社会发展及数字化转型的新动能已成为社会共识,数据质量已成为影响数据要素发挥价值的重要因素。在政务领域,随着数据应用的深度和广度逐渐加强,数据质量问题已成为数据深化应用的制约因素。以数据质量管理相关理论为基础,以源头数据质量管控为手段,提出了基于智能化数据探索的数据质量管理方法,即通过数据质量管理激活数据资源价值,该方法在政务数据质量管理工作中具有借鉴意义。

As social consensus,data has become a new driving force for economic and social development and digital transformation,while data quality has become an important factor affecting the value of data elements.In the field of egovernment,the depth and breadth of the data application are gradually strengthening,and the problem of data quality has become the restricting factor of data deepening application.The article is based on the theory of data quality management,using the control over source data quality as a means,advances a method of data quality management based on intelligent data exploration,which is to activate data value through data quality management.The method can be used for reference in the work of e-government’s data quality management.