Traditional data quality activities that focus primarily on “detect and cleanse” are merely reactive measures and do very little to actually improve the quality of the data in the company. They only address the symptoms but do not remedy the root cause of the problem. Companies that embark on data quality initiatives of detect and cleanse will be very disappointed by the final outcome of their efforts and ultimately will not correct data quality problems. Effective data quality is based on proactive data quality.
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