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Management article
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Reference no. SMR3628
Authors: T Redman
Published by: MIT Sloan School of Management
Published in: "MIT Sloan Management Review", 1995
Length: 11 pages

Abstract

Errors in data can cost a company millions of dollars, alienate customers, and make implementing new strategies difficult or impossible. The author describes a process AT&T uses to recognize poor data and improve their quality. He proposes a three-step method for identifying data-quality problems, treating data as an asset, and applying quality systems to the processes that create data.

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Abstract

Errors in data can cost a company millions of dollars, alienate customers, and make implementing new strategies difficult or impossible. The author describes a process AT&T uses to recognize poor data and improve their quality. He proposes a three-step method for identifying data-quality problems, treating data as an asset, and applying quality systems to the processes that create data.

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