Cloud governance is a new term in the IT field however it has not been given a

Cloud governance is a new term in the it field

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Cloud governance is a new term in the IT field; however, it has not been given a clear definition yet [ 85 ]. Microsoft defines cloud governance as “ defining policies around managing the factors: availability, security, privacy, location of cloud services and compliance and tracking for enforcing the policies at run time when the applications are running ” [ 86 ]. The core of cloud governance revolves around the relationships between provider and consumer, across different business models [ 87 ]. The business model should define the way in which an offer is made and how it is consumed. To function at all cloud levels (IaaS, PaaS and SaaS), the business model should be devoid of the type of resources involved. The literature reported different views on what drives what within these governance domains; in our research, we argue that data governance should be the key driver for all other governance domains, sitting at the heart of everything. The most debated relationship among these governance domains has been that of information governance and data governance, where numerous schools of thought, including the Data Governance Institute, have consistently used information and data governance interchangeably, connoting the understanding that the two terms mean the same thing. A very recent paper, published only in 2016, as part of the proceedings of the 28th Annual Conference of the Southern African Institute of Management Scientists, presented a systematic analysis to prove that data governance is indeed a prerequisite for information governance, and hence the argument was extended to state that data governance must become an ingrained part of both corporate governance and IT governance [ 88 ]. Figure 3 provides an illustration of the advocated hierarchy of these governance domains, showing also the difference between management and governance.
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Sustainability 2018 , 10 , 95 8 of 26 Figure 3. The hierarchy for the difference between management and governance. 5. Data Governance Taxonomy To construct a holistic taxonomy, we must determine the key dimensions of data governance. This adopted dimension-based approach allows for the categories in the taxonomy to be broken down into discrete areas. A dimension-based approach allows more flexibility in placing content into various nodes, represented by the dimension to which they belong. In the context of data governance, this approach will allow users to manage data governance content more efficiently. Successfully achieving this could be a potentially complex process, and consequently requires more investigative effort and the involvement of different stakeholders. Therefore, the taxonomy for data governance was developed following exploratory and qualitative research, where the method employed was merrily based on a combination of analysing the relevant knowledge in the public domain, resulting from the above described systematic literature review (Section 3 ) and following the analytic theory [ 89 ].
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