Standards for “Meaningful Use” Before Semantics

March 23, 2011 by · 2 Comments
Filed under: Business Rules, Data Governance, Recommendations 

I had done some talks on health care business intelligence and data quality. This morning I was pointed to a short article about health care and data in which the claim was made that the “health care field is fertile ground for semantic tech.” In the article, a reference to NIEM (the National Information Exchange Model) was made suggesting a “greater use of semantics.” Former Fed and now CTO at Accelerated Information Management Michael Daconta is quoted as saying that “the federal government’s ‘meaningful use’ directive, which focuses on the adoption of electronic health records, calls for decision support.”

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Managing History in Master Data Management

Yesterday was the first of a series of breakfast presentations I am making with Ataccama (a data quality and MDM tools company) on the value of master data management, data quality, and data governance. One of the attendees works for a company that has invested a significant amount of budget and effort in MDM, yet is finding some challenges today regarding the management of history, slowly-changing reference concepts, and associated semantics.
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Upcoming Event (2011-02-10): Webinar on “Data Quality’s New Best Practice – Data Virtualization”

February 4, 2011 by · Leave a Comment
Filed under: Data Quality, Events 

I will be the invited speaker at an exciting upcoming web seminar on Feb 10, 2011 at 2:00PM EST with Composite Software on “Data Quality’s New Best Practice – Data Virtualization.” Bob Eve, who is an Executive Vice President at Composite Software will join me as well. I hope you can make it! Click here to register.

Model-Driven Design: The Start or the End?

February 4, 2011 by · 1 Comment
Filed under: Data Governance, Master Data, Metadata 

I had two interesting briefings this week. One was from a company called Orchestra Networks providing a tool for model-driven master data management, and the other was a company called Collibra, which provides a model-driven tools for capturing metadata and semantics.
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