Many data warehouse operators have attempted to implement Master Data Management to improve data quality, but most have focused on mastering data after transactions occur. This approach does little to improve quality because data is "fixed" after the fact. The best way to improve data quality is to move the process upstream of the data warehouse and before transactions are executed.
One goal of MDM is to prevent bad data from entering the ecosystem at all by enforcing data quality at the edges of the IT ecosystem. For example, when creating a sales order, the transactional system should guarantee that customer data on the order is not duplicated, and that address data are correct and current. The same thing could happen for the product data, prices, discounts, and payments on the order.
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