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电力大数据:2024,27(4):-
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基于数据主人制的企业数据治理模式及平台研究应用
马洪斌1, 邵志敏2, 郭瑞3, 黄振3, 王冰洁1, 杨飞1, 王涛1
(1.国网枣庄供电公司;2.国网山东省电力公司;3.国网山东省电力公司信息通信公司)
Research and application of enterprise data governance model and platform based on data ownership
mahongbin1, shaozhimin2, guorui3, huangzhen3, wangbingjie1, yangfei1, wangtao1
(1.State Grid Zaozhuang Power Supply Company;2.State Grid Shandong Electric Power Company;3.State Grid Shandong Electric Power Company Information and Communication Company)
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投稿时间:2024-05-22    修订日期:2024-06-26
中文摘要: 为应对当前企业快速高质量发展面临的巨大挑战,改变原有的企业数据管理方式粗放、数据权责不清、数据质量不高、数据应用不强等问题,本文立足企业数字化转型发展需求,提出一种新型的企业数字化升级新思路,通过构建基于数据主人制的数据质量治理新模式并落地数据治理平台,强化人员责任落实,加快推动公司全业务数据质量高效治理。创新研究存量和增量数据数据主人智能认定,开展数据批量预处理、外数内用、专家处理整改参考等数据处理技术探索落地,并在源端业务系统开展适应性改造,多措并举,从数据治理责任主体、数据治理技术、数据治理平台等全方位强化数据治理工作,提升数据治理水平。通过平台的落地应用,实现了公司台账类数据治理准确性和高效性的提升,对于强化企业数据管理水平,发挥数据应用价值,推动企业转型升级具有重要的参考意义和价值。
Abstract:To address the enormous challenges faced by the rapid and high-quality development of enterprises, and to address the existing problems of extensive data management, unclear data rights and responsibilities, low data quality, and weak data applications, this article proposes a new approach to enterprise digital upgrading based on the needs of enterprise digital transformation and development. By constructing a new model of data quality governance based on data ownership and implementing a data governance platform, strengthening personnel responsibility implementation, and accelerating the efficient governance of data quality throughout the company"s entire business. Innovate research on intelligent identification of existing and incremental data owners, explore and implement data processing technologies such as batch data preprocessing, external and internal data use, and expert processing and rectification references, and carry out adaptive transformation in the source business system. Take multiple measures to strengthen data governance work from the perspective of data governance responsibility subjects, data governance technologies, and data governance platforms, and improve the level of data governance. Through the implementation and application of the platform, the accuracy and efficiency of the company"s ledger data governance have been improved, which has important reference significance and value for strengthening the level of enterprise data management, unleashing the value of data applications, and promoting enterprise transformation and upgrading.
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