For as long as I can remember, analytic and other downstream nonmission-critical operational applications have been at the mercy of the data quality of transaction systems such as the point of sale, inventory, AR, AP - really the entire ERP system. Even the most impressive systems - those that that jump over hurdles, through hoops and back again to give end users the view of data and functionality they want - are not effective if the data within them is not accurate.
The first response to bad data is often, "Let's get it cleaned up in the source system." In my experience, that is rarely the implemented solution. Also absent is adherence to the old acronym GIGO.
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