Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality, writes Marty Moseley in the November e-edition of Database Trends and Applications. However, nearly every data warehouse ecosystem has attempted to manage master data within its data warehouse architecture, but has focused on mastering data after transactions occur. This approach does little to improve data 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. Read more, go here.

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