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GDPR 过渡和数据治理有什么共同点?几乎所有东西.pdf

上传人: 明**** 编号:617773 2025-03-13 23页 945.39KB

1、What Does GDPR Transition and Data Governance Have in Common?Almost EverythingWELCOME AND INTRODUCTIONSKira Ahveninen-KuhaGlobal Digital Lead Counsel,ABB(Motion)Dorota Kosela,CIPP/E,CIPM,CIPT,FIP Global Head of Privacy-Legal,ComplyAdvantageJussi Leppl,CIPP/E,CIPM,CIPT,FIP,Data Privacy Officer,Valmet

2、AGENDA OUTLINEWelcome and Introductions Panel discussion(45 minutes)Questions and Answers(10 minutes)Closing Remarks (5 minutes)What is“Data Governance”Data Governance:setting the strategic framework,policies,and oversight for data across its lifecycle ensuring responsible and consistent data usedef

3、ining roles in relation to data(e.g.data stewards,data owners)linking high quality,accurate,accessible,consistent data to business goals key aspect:covering the entire data lifecycleData Management:tactical process of implementing these policies,focusing on day-to-day data handling Data governance f

4、rameworksDAMA-DMBOK(Data Management Body of Knowledge):comprehensive guide with best practices,principles,and processesCOBIT(Control Objectives for Information and Related Technologies):framework for IT governance and management,contains data governance areas The Data Governance Institute(DGI)Framew

5、ork:widely-used framework focusing on data stewardship,policies,processes,and quality managementData governance:also featured in technology governance tools,such as ISO/IEC 38500Data governance in your organisationVery different across organisationsTied to business initiatives Influenced by:Size and

6、 businessOrganisations approach to data:is it an asset,does it inform decision making or just something to be managed?Is it a product that the organisation sells?Does the organisation generate the data or obtain it?Is it personal data or other types of data?Data domains in data governance Logical gr

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本文主要探讨了GDPR转型与数据治理的相似之处。首先,两者都强调对数据的战略框架、政策和监督,确保数据的负责任和一致性使用。其次,它们都关注定义与数据相关的角色和职责,例如数据管理员和数据所有者。此外,两者都强调高质量、准确、可访问和一致的数据对业务目标的重要性。在技术方面,COBIT框架和DAMA-DMBOK等也为数据治理提供了指导。在组织层面,数据治理因组织大小、业务模式和数据处理方式的不同而有所差异。最后,数据治理还涉及数据隐私和安全法律,如GDPR、中国的PIPL和巴西的LGDP等。总之,GDPR转型和数据治理在很大程度上是相互关联和相互影响的。
"GDPR与数据治理有何相同之处?" "如何确保数据治理在组织中的有效实施?" "数据治理与生成式AI有何关联?"
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