Titlebook: Data Governance Success; Growing and Sustaini Rupa Mahanti Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive licen

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Rupa MahantiAddresses data governance misconceptions, challenges, critical success factors.Considers the relationship between corporate strategy.Details the different data governance maturity models

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nges .• Key considerations when implementing data governance to achieve and sustain success.• Strategy and data governance.• Different data governance maturity frameworks.• Data governance – peopl978-981-16-5088-8978-981-16-5086-4

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Strategy and Data Governance,ance roadmap is also discussed in this chapter. The role of the chief data officer in data governance implementation is discussed in this chapter. It is critical to commence any data governance initiative with a short, high priority, and well defined and understood pilot. The prioritisation and sele

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Data Governance Components and Framework,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.

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Intervention and Control Groupsance roadmap is also discussed in this chapter. The role of the chief data officer in data governance implementation is discussed in this chapter. It is critical to commence any data governance initiative with a short, high priority, and well defined and understood pilot. The prioritisation and sele

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the different data governance maturity modelsWhile good data is an enterprise asset, bad data is an enterprise liability. Data governance enables you to effectively and proactively manage data assets throughout the enterprise by providing guidance in the form of policies, standards, processes and r