Data Quality ROI - transforming soft measures into hard dollars
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Tom Breur
December 2009 Introduction Hard business cases for data quality are rare. Yet they aren’t all that difficult to construct. So there must be another reason for their absence. Possibly the most prevalent explanation is that professionals are either unable or unwilling to associate “soft” outcomes with “hard” dollars. Yet without this connection, considerable ambiguity remains as to “what” the issue is, really, and how much it is costing. What are some examples of “soft” data quality problems? |


