Abstract
Data governance framework (DGF) is one of the key factors in the successful implementation of data governance. The three main components of data governance are people (roles, responsibilities, working groups and committees), processes, and tools and technology. In this chapter we will discuss each of these components and how they interact with each other. The common functional titles used in data governance are defined in this chapter. This chapter discusses the different data governance roles and responsibilities, data stewardship, data ownership, processes, standards, and policies. The different data governance bodies and committees have also been discussed briefly in this chapter. Data stewards often fail and the failure reasons have been discussed in a separate section. Different types of data stewards have been discussed in succinct fashion in this chapter. There are different data stewardship models and these have been discussed in this chapter. The different characteristics of a data policy and the components of a data policy document have been discussed in a lucid fashion in this chapter.
You don’t have to be a genius or a visionary or even a college graduate to be successful. You just need a framework and a dream.
—Michael Dell
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Mahanti, R. (2021). Data Governance Components and Framework. In: Data Governance Success. Springer, Singapore. https://doi.org/10.1007/978-981-16-5086-4_5
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DOI: https://doi.org/10.1007/978-981-16-5086-4_5
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