Organizing for Data Quality
The Cost of Poor-Quality Data:
- Sales/Marketing: Low customer satisfaction, Many address change requests, No trust/agreement in reporting.
- Finance: Budgets take forever to get “right”, Big budget/actual discrepancies, No trust/agreement in reporting.
- Supply Chain: “Out-of-stock” situations, Poor-quality products, No trust/agreement in reporting.
- IT: Large IT projects fail, Low usage of applications, No trust/agreement in reporting.”
Link to External Resource: Organizing for Data Quality
Source: Andreas Bitterer, Gartner
See more Resources like this one in this Data Quality Resource Guide Section: Data Quality Costs & Benefits
Posted: May 28th, 2010
