Understanding the roles and responsibilities needed for a Data Administration team is critical to the meta data repository’s initial success and ongoing maintenance. There are 9 key roles that require specific, qualified resources assigned…
This article is the second and concluding portion of a two-part series on staffing the data administration team. In the first installment we examined the roles of the project champion, data administrator, repository architect…
This article is excerpted from the book Business Intelligence Roadmap: The Complete Lifecycle for Decision Support Applications (Addison-Wesley, 2003). Copyright Larissa T. Moss, Shaku Atre, Addison-Wesley. For many organizations, a business intelligence (BI) initiative…
Traditionally in many organizations, the control of data resources has been centralized due to the origin of data management within the mainframe environment. However, with the emergence of client-server technology and the blending of…
On most every CIO’s key objectives is to integrate their organization’s data. In fact the issue of data integration has risen all the way to the CFO and CEO level of a corporation. A…
The basic premise of the Data Management approach to application development is that information is like any other business resource – and should be managed as such. Unfortunately, most businesses do not currently manage…
This article is excerpted from the book Business Intelligence Roadmap: The Complete Lifecycle for Decision Support Applications (Addison-Wesley, 2003) by Larissa T. Moss and Shaku Atre. Data mining is often confused with “writing lots…
Models are created not only to represent the business needs of an application but can also depict the business information needs of an entire organization. An enterprise model is one or more models used…
An enterprise management program is designed to emphasize the importance of managing information as an asset. Most enterprises carefully manage other assets (financial, physical, and human) but overlook the value inherent in their data.…
Throughout the history of Information Resource Management, there have been questions surrounding the necessity for multiple disciplines within the IRM domain. Many organizations do not recognize the essential differences between Data Administration and Database…
By Anne Marie Smith, Ph.D.
In the first article in this series (featured in Real World Decision Support, January 2004, http://www.ewsolutions.com/newsletter/122/12201.htm , we introduced the term iterative data to mean what is commonly labeled “structured data”, and the term…
Enterprise Information Management can be defined as the set of disciplines, technologies and best practices to manage information as an enterprise asset. EIM functions ensure high quality data is available, controlled and effectively leveraged…
Moving Your Extract/Transform/Load (ETL) Process Into Primetime is presented in a series of three short articles. In this issue, we will review the three sets of programs you need to develop in order to…
In the last issue, we reviewed the three sets of programs you need to develop in order to populate your analytical database in your data warehouse or business intelligence (BI) application: the initial load…
This is the final article in a three-part series. In Part I, we discussed the initial load, the historical load, and the ongoing incremental load processes. In Part II, we examined some important considerations…
This article is excerpted from a book tentatively titled, BI Roadmap: The Complete Lifecycle for Decision Support Applications (Addison-Wesley, 2003). All material is copyright Larissa T. Moss, Shaku Atre, Addison-Wesley. An enterprise infrastructure is…
Enterprise Information Management (EIM) is a field with many nuances, with many areas of interest. Well-schooled in the ways of businesses and familiar with different technologies, EIM professionals meet a demand for effective delivery…
In the book The Seven Habits of Highly Successful People , Dr. Stephen Covey recommends that each of us develop a personal mission statement. The discipline of Data Administration / Data Management has long…