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Understanding Type 1 and Type 2 Errors

Organizations are becoming increasingly aware of the importance of high quality data to the success of critical business initiatives.

When evaluating data quality solutions, it is important to understand the fundamental principles on which the data cleansing software operates. To do that requires an understanding of the data errors known as Type 1 and Type 2 — errors that all data quality programs make — as well as the relationship between these errors.


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