Excerpt from A Process View of Data QualityWe posit that the term data quality, though used in a variety of research and practitioner contexts, has been inadequately conceptualized and defined. To improve data quality, we must bound and define the concept of data quality. In the past, researchers have tended to take a product oriented view of data quality. Though necessary, this view is insufficient for three reasons. First, data quality defects in general, are difficult to detect by simple inspection of the data product. Second, definitions of data quality dimensions and defects, while useful intuitively, tend to be ambiguous and interdependent. Third, in line with a cornerstone of tqm philosophy, emphasis should be placed on process management to improve product quality.The objective of this paper is to characterize the concept of data quality from a mess perspective. A formal process model of an information system (is) is developed which offers precise process constructs for characterizing data quality. With these constructs, we rigorously define the key dimensions of data quality. The analysis also provides a framework for examining the cm data quality problems. Finally, facilitated by the exactness of the model, an analysis is presented of the interdependencies among the various data quality dimensions.About the PublisherForgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.comThis book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully, any imperfections that remain are intentionally left to preserve the state of such historical works.