There is a shift underway with Master Data Management (MDM) that can't be ignored. It is no longer good enough to master domains in a silo and think of MDM as an integration tool.  

First generation implementations have provided success to companies seeking to manage duplication, establishing a master definition and consolidating data into a data warehouse. All good things. However, as organizations embrace federated environments and put big data architectures into wider use, these built-for-purpose MDM implementations are too narrowly focused and at times as rigid as the traditional data management platforms they support.

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