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Cloud data governance maturity model

Published: 22 March 2017 Publication History

Abstract

To ensure data governance in cloud computing, it is important to build-in data governance in the planning, strategy and the design phases of cloud computing and adapt a data governance program architecture which makes sure that regular and governance related tasks, are deployed correctly. Cloud data governance requirements must be linked to the business goals in organisations, when they adopt cloud computing. Cloud data governance is an executive level concern in many organisations today, but a method for credible, reliable, and cost-efficient cloud data governance maturity assessment has been lacking. In order to identify and explore the strength and weaknesses of a particular organization's data governance in cloud computing, this paper proposed as a cloud data governance maturity model and is intended as a tool to evaluate the ability of organizations to meet the objectives of data governance for cloud computing. The maturity model helps organisations understand their current level of data governance before and after adopting cloud computing based on key dimension for cloud data governance. More importantly, the cloud data governance maturity model can identify a path for future growth in, an organisation toward the ultimate goal which invariably follows an understood and established path. This paper will describe the cloud data governance maturity model and explains how organizations can leverage it to help them govern the use of data more effectively in the cloud environment.

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cover image ACM Other conferences
ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing
March 2017
1349 pages
ISBN:9781450347747
DOI:10.1145/3018896
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 March 2017

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Author Tags

  1. cloud computing
  2. cloud data governance
  3. data governance
  4. data governance maturity model
  5. maturity model

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ICC '17

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ICC '17 Paper Acceptance Rate 213 of 590 submissions, 36%;
Overall Acceptance Rate 213 of 590 submissions, 36%

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Cited By

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  • (2023)Applications of Artificial Intelligence in Public Procurement—Case Study of NigeriaComputational Intelligence for Modern Business Systems10.1007/978-981-99-5354-7_27(513-522)Online publication date: 4-Nov-2023
  • (2022)A Survey on Interoperability Issues at the SaaS Level Influencing the Adoption of Cloud Computing TechnologyProceedings of International Conference on Network Security and Blockchain Technology10.1007/978-981-19-3182-6_16(206-214)Online publication date: 15-Jun-2022
  • (2022)Review of Interoperability Issues Influencing Acceptance and Adoption of Cloud Computing Technology by ConsumersIntelligent Systems and Sustainable Computing10.1007/978-981-19-0011-2_5(49-58)Online publication date: 29-May-2022
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  • (2019)The Need for a Maturity Model for Maturity ModelingThe Art of Structuring10.1007/978-3-030-06234-7_14(145-151)Online publication date: 26-Jan-2019

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