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This document discusses the importance of data-quality and presents three simple steps that can help lay the framework for an over all data-quality strategy. The first step is to ask some rather simple questions, such as: (1) How much data does the organization have, how fast is it creating new data, and how many redundant copies are there?; and (2) Which data are most important? If the answers to any of the questions from step one are "no," then it is necessary to go to step two, which is to get a feel for data quality. The third step is to conduct an improvement exercise.