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Abstract

Quality data is a key resource for planning, producing, and communicating in the new millennium. Use of data transcends time, space, and communities. With the use of the Internet increasing dramatically, poor-quality data can be processed and distributed faster than ever and wider than ever. Reports on impacts of data quality range from customer dissatisfaction, stoppage of business operation, and reduced revenue, to human loss (Huang et al. 1999; Redman 1996). Equally critical, but under-reported, ramifications of poor-quality data include jeopardizing the capacity to understand new dynamics and the context of global business, to understand changing customers’ view, and to understand how to respond to new opportunities.

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