数据认责管理中核心数据的识别初探

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英文篇名：Critical Data Identification in Data Accountability Management 作者：缪新萍 ; 王鹏宇 ; 孔庆波 英文作者：MIAO Xin-ping;WANG Peng-yu;KONG Qing-bo;Information Center of CSG Guizhou Power Grid Co., Ltd.; 关键词：数据认责 ; 核心数据项 ; 数据治理 英文关键词：Data accountability;;Critical data element;;Data governance 中文刊名：RJZZ 英文刊名：Computer Engineering & Software 机构：贵州电网有限责任公司信息中心; 出版日期：2019-05-15 出版单位：软件 年：2019 期：v.40;No.469 语种：中文; 页：RJZZ201905029 页数：5 CN：05 ISSN：12-1151/TP 分类号：160-164

摘要

数据治理已经成为企业如何充分发挥数据资产价值、全面推动数字化转型所面临的重要课题。然而,面对浩如烟海的数据,从何处着手加以有效治理成为一个棘手问题。本文介绍了贵州电网公司在开展数据认责工作中,就如何确定核心认责数据项使用的以问题为导向的核心数据识别方法。通过对数据问题的归集、分析,从中提取问题分布较集中、业务影响较大的核心数据项,而后借助归因分析进一步筛选出作为实施认责管理的核心数据项,从而确保突出的痛点数据问题得到有效解决,数据认责管理工作更具针对性和有效性。
        Data governance has become an important issue for enterprises to make full use of the value of data assets and promote digital transformation. However, in the face of vast amounts of data, where to proceed with effective governance has become a thorny issue. This paper introduces the problem-oriented core data identification method used by Guizhou Power Grid Company in data identification for data accreditation implementation. Through the collection and analysis of data problems, the critical data elements with more centralized distribution and greater business impact are extracted. Then, with the help of attribution analysis, data items are further screened out as the implementation of data accountability management, so as to solve the relevant data problems and make the data accountability management more targeted.

引文

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