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A white paper by David Loshin

In this paper, we look at taking the concepts of data governance into general practice as a byproduct of the processes of inspecting and managing data quality control. By considering how the business is affected by poor data quality – and establishing measurable metrics that correlate data quality to business goals – organizational data quality can be quantified and reported within the context of a scorecard that describes the level of trustworthiness of enterprise data.

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