Est. 2007 · Vol. 4 · No. 5 · November 2010Write for EIMInsightWork with the experts
EIMInsightThe Journal of the Enterprise Information Management Institute

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Data Administration Staffing - Part 1

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…

Data Administration Staffing - Part 2

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…

Data Analysis

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…

Data Integration Importance

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…

Data Management Background

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…

Defining Data Mining

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…

Enterprise Data Modeling

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…

Establishment of Enterprise Data Management

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.…

Iterative and Narrative Data: Common Ground?

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…

Learning about Enterprise Information Management

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 ETL Process Into Primetime (Part I)

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…

Moving Your ETL Process Into Primetime (Part II)

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…

Moving Your ETL Process Into Primetime (Part III)

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…

Non-Technical Infrastructure for BI Applications

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…

The Mission of Data Administration

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…