As I, and many others, have blogged about many times before, the proactive approach to data quality, i.e., defect prevention, is highly recommended over the reactive approach to data quality, i.e., data cleansing.
However, reactive data quality still remains the most common approach because “let’s wait and see if something bad happens” is typically much easier to sell strategically than “let’s try to predict the future by preventing something bad before it happens.”
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