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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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Stored only when both papers are in the corpus — 20 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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