[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-資料治理":3},{"tag":4,"articles":10,"peer_article_count":11},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":9},"49b7c093-98bf-474d-b818-7c3262288640","資料治理",7,"資料治理指的是企業如何定義、控管與追蹤資料的存取、使用與生命週期，涵蓋權限、稽核、資料分類、保留政策與 AI 訓練邊界。當內部工具、雲端平台與生成式 AI 同步擴張時，治理決定資料能否安全流動而不失控。","Data governance covers how an organization defines, controls, and audits data access, usage, and lifecycle: permissions, classification, retention, lineage, and AI training boundaries. As internal tools, cloud platforms, and generative AI spread, governance determines whether data can move safely without creating sprawl or compliance risk.",[],11]