Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business’s success criteria, it is difficult to determine how to react to emergent data quality issues - and determine whether their fixing these problems has any measurable business value. In this webcast, David Loshin from Knowledge Integrity and Dan Soceanu from DataFlux explore ways to qualify data control and measures to support the governance program.

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