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Volume 2, Issue 1 - April 2008 Edition
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Featured Articles

Master Data Management: Looking For the Right Single View
By Paraic Sweeney

The only constant in business data management today is change. People move to new homes every day, rendering customer information in countless databases obsolete. And those same customers change phone numbers and jobs, acquire new credit cards, open new bank accounts, make purchases, make payments and get married. If changes like these are not recorded in an organization’s data records -- and shared with all the systems and processes that depend on those data records -- that organization can pay a high price or miss out on new business opportunities.

Monthly Columnists

Larissa Moss

Enterprise data modeling (EDM) got a bad reputation in the late 1980’s, and for good reason. It took too long to model the entire enterprise, and the model had little or no effect on how systems were built. It was perceived as a wasted effort, and the practice was abandoned by most companies. However, in the late 1990’s, it became clear that we had thrown the baby (sound data management principles) out with the bathwater (tedious and ineffective approaches). As a result, new disciplines started to emerge, such as metadata management, data governance, data stewardship, master data management, enterprise information management, information center of excellence, and so on.

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Anne Marie Smith, Ph.D.

Data Governance is the practice of managing information to identify and improve its business value. Data governance provides a practical methodology for data with business priorities. Although meta data is not new, its importance to effective data governance has recently been receiving attention as a critical element for maintaining the value of the organization’s data. Metadata provides the means for identifying and classifying data within subject areas and enabling users and technologists to manage the context as well as the content in information systems.

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Bruce Johnson

In my last article, I began a 3 part series designed to outline criteria for staffing a data warehouse program within a corporation. Part I focused on breaking down the various roles, thoughts on how to organize those resources, and considerations for handling support and development. In part II, we will look deeper into how to build and retain a strong organization. This is a significant challenge that corporations face, and more often than not, struggle with.

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Letter From The Editor

The April issue of EIMInsight Magazine takes us back to the basics.  Larissa Moss looks back at the history of Enterprise Data Modeling and the effect it has had on our current data management principles.  Anne Marie Smith discusses the importance of Meta Data in Data Governance while Bruce Johnson continues with his series on staffing a Data Warehouse and Paraic Sweeney addresses Master Data Management. 

These articles all discuss the importance of understanding your Data and how it fits within your organization.  I encourage you to visit our Library where you will have easy access to current and past columns.   

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.  

I encourage you to join EIMI, it's free and 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!

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

 

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