Volume 3, Issue 9 - October 2009

Monthly Columnists

Meta data management and its use in enterprise information management has become one of the critical information technology (IT) focuses for both global 2000 corporations and large government agencies. As these entities look to reduce their IT portfolio and control their escalating IT costs they are turning to the technical functionality that a managed meta data environment (MME) can provide them. The organizations that have built well-architected enterprise-wide MME have achieved a tremendous amount of success. Unfortunately, like most popular IT trends, companies are making key mistakes in building and moving forward on their meta data management investments.

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According to a 2003 study by the University of California at Berkeley, about 5 exabytes (an exabyte is roughly the equivalent of 1,000 petabytes, 1 million terabytes, or 1 billion gigabytes) of unique analog and digital information were produced worldwide in 2002, twice the amount produced in 1999. That’s a data explosion equivalent to half a million new libraries the size of the print collection of the Library of Congress, and this number will continue to expand exponentially. Although we haven’t seen any further studies, today – in 2009 – and after the massive use of social networks, such as FaceBook, YouTube, MySpace and Twitter, this number must be incredible! IBM estimates that about 85 percent of all data is unstructured and about 50 percent of the unstructured data is duplicated. Therefore, any discussion about a data strategy is incomplete without formulating a tactic for maintaining unstructured data.

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Many enterprise information management (EIM) or data management projects don’t live up to their potential. EIM technology (data dictionaries, meta data management products, data modeling, data warehousing and business intelligence, data quality) have been around for a long time. Enterprise Data Management is a mature field, even if it has been called by different names, and the field is founded on strong principles. The approaches are well-structured, cover a wide variety of situations and have worked well for many organizations. Additionally, project management processes, tools and technologies are mature and well established. So the question arises, why do data management projects / programs fail?

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Letter From The Editor

October EIMInsight Magazine begins with a two part series by David Marco where he looks at the importance of Meta data management and its use in enterprise information management.   Also, Larissa Moss discusses the large amount of unstructured data and the need to maintain this data and Anne Marie Smith identifies seven causes for success in enterprise information management.

EIMInsight each month provides you with critical information intended to assist you with your current and future EIM projects.  Regardless of the size of your project, there are several elements that remain critical to your project’s success and EIMInsight Magazine is a resource to identify those elements and to provide you with real world solutions.

We invite you to join EIMInstitute, it’s free and it will provide you with a wealth of research now and in the future. Articles are constantly added to the archives and resource portals, so join us now!

Also, please visit our Library where you will have access to current and past columns which will provide you with insight for current and future projects.  To find an article written by one of our monthly columnists go to Meet The Experts, where we provide access to each columnist’s contributed EIMInsight articles.

If you have any questions or comments about the magazine or the institute, please contact Cindy Klima at cklima@EIMInstitute.org.

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