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Running Head: DISCUSSION QUESTIONS
Data governance institute has built a data governance framework, which is a
perceptible model to assist in monitoring panning efforts and rational structure for
organizing, classifying and communicating compound activities used in taking actions and
decision making on enterprise data (Rouse, n.d.). Decision making and competitive
advantage in a data enterprise can be enhanced by improving the quality of data. The data
governance framework provides a significant base for business owners.
Data governance framework has ten levels as following;
1. Vision and mission- this is the highest level that includes three-part purposes which
are; dynamically define rules, resolve and react to issues appearing from breach of
regulations and lastly, providing stakeholders with ongoing services and boundaryspanning protection.
2. Goals, success measures/government metrics, funding plan- some of the data
governance goals should result in hard measures or soft measurable. Others should be
measurable, relevant, actionable, specific, and timely. Metr...
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