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Measuring the Value of Data Quality
in Terms a CFO Can Understand
September 2007
David Raab
One challenge that leaders of data quality initiatives universally face is how best to justify the necessary expense. In this article, I propose using Lifetime Value as a framework for doing just that.
The method is straightforward: start with lifetime value and break it down into its underlying components. Quantify the impact that a proposed change will have on the components. Roll these changes up to a total business value, and there you have it.
