Data Governance needs to take a policy-centric approach to data models, data quality standards, data security and lifecycle management, and processes for ...
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Key Dimensions for Cloud Data Governance - Semantic Scholar
www.semanticscholar.org › paper › Key-...
This paper seeks to develop a conceptual framework for cloud data governance-driven decision making in the public sector in the absence of a cloud data ...
Oct 18, 2023 · Data quality dimensions are measurement attributes of data, which you can individually assess, interpret, and improve.
Key Dimensions for Cloud Data Governance - IEEE Computer Society
www.computer.org › proceedings › pdf
Abstract— Forward thinking organizations recognize that data management solutions on their own are becoming very expensive and failing cope with reality.
Through synthesizing the studies, we identified the primary elements of DG as including DM, data architecture, data lifecycle, data storage, data access, data ...
Data quality is generally judged on six dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
The maturity model helps organisations understand their current level of data governance before and after adopting cloud computing based on key dimension ...
In addi-tion, authors identify the dimensions for Cloud Data Governance Programs: Cloud Deployment Model, Service Delivery Model, Cloud Actors, Service Level ...
Seven key elements to achieve good data governance · Transparency and ethics: · Risk and security: · Education and training: · Collaboration and culture: ...