Toward Quality Data An Attribute Based Approach

Cover Toward Quality Data An Attribute Based Approach
Toward Quality Data An Attribute Based Approach
Y Richard Yng Yuh Richard Wang
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Rather, the losses are always distributed in such a way that a small percentage of the quality characteristics, "the vital few, " always contributes a high percentage of the quality loss. As a result, the cost improvenrtent potential is 1 Computerworld, Sept«nib«r 28, 1992. P. 80-84.
2 Th€ WaU Slr*«t Joum*!, May 26, 1992, pagt B6.
3 )ust like the weil puWldzed coiKept of itw dtfect products m the manufactunng literittir*.
high for "the vital few" projects whereas the "trivial many" defects are
...not worth tackling because the cure costs more than the disease (Juran & Cryna, 1980). In sum, when the cost is prohibitively high, it is not feasible to attain zero defect data.
Given that zero defect data may not always be necessary nor attainable, it would be useful to be able to judge the quality of data. This suggests that we tag data with quality indicators which are characteristics of the data and its manufacturing process . From these quality indicators, the user can make a judgment of the quality of the data for the specific application at hand.


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