转自 微信公众号 数据学堂， 原文链接 https://mp.weixin.qq.com/s?__biz=MzkyMDE5ODYwMw==&mid=2247491569&idx=1&sn=249fe8e4a37310db63984a58cb9a3606&chksm=c197d355f6e05a435e6ad92136258ced8497da21e26f6585bb61f592dc896b233fabb4a4de1a&scene=21#wechat_redirect
数据治理其实是一种体系，是一个关注于信息系统执行层面的体系，这一体系的目的是整合IT与业务部的知识和意见，通过将流程、策略、标准和组织的有效组合，对企业的信息化建设进行全方位的监管，需要企业高层的授权和业务部门与IT部门的密切协作。目标是保证数据的有效性、可访问性、高质量、一致性、 可审计和安全性。
数据治理体系的建立是促进企业数据管理体系建设和执行体系落地的有力支撑平台，将分散、多样化的核心数据等通过标准化、质量探查、清洗、集成及监控等技术手段进行优化，形成企业内的数据治理体系，并结合企业组织结构，形成数据管控执行体系，在企业内部持续运行，提升、挖掘主数据的应用价值。
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