Data Management

Measuring Master Data Quality

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Executive Summary

Data Quality Management (DQM) plays a critical role in all kinds of organizations (Pipino et al. 2002). With data being the foundation for information it is one of the most important criteria for strategic business decisions within organizations. That is why poor data quality can have a critical effect on business processes leading to increased costs and lowering customer and employee satisfaction (Redman 1998). Nearly every IT system has "Dirty" (erroneous) data. About 75 per cent of organizations have identified costs originating from dirty data (Marsh 2005). U.S. businesses pay $600 billion a year due to a lack of data quality (Eckerson 2002).

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