Cutter Consortium :: Data Resource Quality: Uncertainty Versus Understanding

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Data Resource Quality: Uncertainty Versus Understanding

by Michael H. Brackett

There is no doubt that most public- and private-sector organizations have low-quality data in their data resource. There is no doubt that these low-quality data are impacting the business in both a known and an unknown manner. There is also no doubt that improving data resource quality will improve the support to business activities. The only question is how to go about improving the quality of an organization's data resource.

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Data Resource Quality: Uncertainty Versus Understanding 3 November 2004

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Cutter Consortium, founded in 1986, is a global IT advisory firm helping organizations forge solutions to the business technology challenges they face. Through its research, consulting, and training, Cutter assists enterprises as they create, implement, and maintain IT systems and organizations that support business objectives and encourage innovation. Cutter pushes the thinking in the field by fostering debate and collaboration between thought leaders from different domains, countries, and disciplines. As a completely independent entity that has no special ties to vendors, Cutter Consortium is beholden to no one and dedicated to providing completely objective, unbiased information to its clients. Cutter Consortium gives you access to the top thinkers in IT.

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