As master data management is widely adopted, effective MDM project management is also in wide demand. Professionals come to the MDM space from two distinct backgrounds, both of which can lead to gaps in their effectiveness. The generalizations that follow will be used for example only.

From one camp, there are people who arrive with a vast information management background. They understand data modeling, data integration, data profiling, data quality and related concepts necessary to achieve that elusive single version of the truth in an enterprise. Their blind spot can be the lack of an operational focus. Data warehouses, the epitome of information management to date, allow for many delays and timing errors due to their batch nature. MDM, which is operational, often needs to serve up data instantaneously to a variety of operational and analytical environments. This often occurs when data integration and quality work in concert through an MDM hub. The nature of the data also must be consistent. Data warehouses updated at 2 a.m. with no immediate users have a high degree of latitude when it comes to complete data consistency. MDM does not.

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