Data profiling does not improve data quality directly. It provides a better understanding of the challenges you face in delivering information that meets business expectations. To improve data quality, you must act on the information.
Symptoms are the visible results provided by data profiling work. These represent the errors found in the data sources; you must decide how to deal with these.
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