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The Differences, and Similarities, between Operational MDM and Analytical MDM

By Andrew White | November 10, 2009 | 0 Comments

Operational MDMMDMData QualityData Integration/SynchronizationAnalytical MDM

We finally published a note (see The Differences, and Similarities, between Operational MDM and Analytical MDM) that tries to get the bottom of this thorny issue.  It has taken a while, but it is worth it.  This should be “the” note that nails the key questions most users have asked over the last couple of years.

Operational MDM centers on assuring “single view” of master data in the core systems used by business users; it is where master data is created first; and it is often a common source of concern for many organizations since this is where poor (MDM) process integrity fails.

Analytical MDM centers on assuring “single view” of master data in the downstream data warehouse used most often to supply the data for a business intelligence (BI) solution.  We coined the term a few years ago to highlight the overlap (and differences) between the two environments even though “single view” seemed to be a common goal or requirement.

There are differences in what is called, “master data” in the two environments (hierarchy), and also a big difference in how “governance” is effected.  There are similarities in the use of some (not all) technology, most especially related to data quality and data transformation.

At our recent MDM Summit this topic was of great interest.  Hopefully we have provided “the” note that will close out most, if not all, of the open questions.  There were two other notes just published summarizing some common questions users shared regarding MDM.  Ted Friedman just published Q&A for Data Quality and Data Integration From Gartner’s 2009 Master Data Management Summit.  Don’t be mistaken – this is not all about technology; much of data quality is dependent on “context”; the reason why the data is used and the understanding the business user brings to the “question” has a huge impact on what the data means. 

And John Radcliffe published Q&A on Organizing for MDM From Gartner’s 2009 Master Data Management Summit in which he explores some of the issues related to the organizing for MDM.  Organizing for MDM is never too far from process, and governance, so these questions can get pretty complex, and very quickly. 

Want to meet and chat about all things MDM?  I will be at the Gartner Application Architecture, Development, & Integration Summit  in Las Vegas, NV, December 7th-9th

Gartner Application Architecture, Development, & Integration Summit

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