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David Loshin

Welcome to my BeyeNETWORK Blog. This is going to be the place for us to exchange thoughts, ideas and opinions on all aspects of the information quality and data integration world. I intend this to be a forum for discussing changes in the industry, as well as how external forces influence the way we treat our information asset. The value of the blog will be greatly enhanced by your participation! I intend to introduce controversial topics here, and I fully expect that reader input will "spice it up." Here we will share ideas, vendor and client updates, problems, questions and, most importantly, your reactions. So keep coming back each week to see what is new on our Blog!

About the author >

David is the President of Knowledge Integrity, Inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. Loshin is the author of Master Data Management, Enterprise Knowledge ManagementThe Data Quality Approach and Business IntelligenceThe Savvy Manager's Guide and is a frequent speaker on maximizing the value of information. David can be reached at loshin@knowledge-integrity.com or at (301) 754-6350.

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Today I sat in one of the sessions at the Gartner Business Intelligence Summit on Emerging Trends and Technologies for Business Intelligence. One apparent recurring theme is the importance of metadata as an underlying key factor in the evolution of business intelligence activities. While both services-oriented approaches and search are of growing interest in the BI universe, apparently metadata is the key to collaboration, gaining consensus, and embedding predictive analytics. One nice aspect of hearing this from the Gartner analysts is that it is encouraging to see that the same message we columnists have been advocating here at B-eye is finally making it into the mainstream!


Posted March 13, 2007 3:49 PM
Permalink | 2 Comments |

2 Comments

But that's like saying we need world peace or to end poverty. People have been talking about metadata as if it is the cure-all to everything, but every presentation I've seen has either been down in the weeds of metadata repository architecture or so superficial it has no impact.

I think it would be better to say we need more abstraction in everything we do. Data warehouse metadata seems to help no one except developers and MAYBE provide a rollover definition to interactive end-users, but that isn't getting us anywhere. We don't need definitional metadata, we need "relational" metadata, and I don't mean relational database. A standalone atomic definition of a data element is a baby step. How does it relate to other elements? Where does it appear in models? What are the various versions of its semantics?

If that is what Gartner meant, then I think they're on to something, but I'd like some suggestions on how to pull it off.

Your point essentially makes explicit my implicit criticism of the talk. Essentially, there is no doubt that metadata (and I am talking about *real* metatdata that incorporates operational cosntraints, associated business rules, correlation to enterprise information policies, semantics, etc.) is a key enabling component of any forward-think BI activity, but I (as have others) have been preaching this for years in various talks, books, and articles. So why, in 2007, does it appear as a "future trend" for Gartner?

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