Volume 2, Issue 4 - October 2008
IN THIS ISSUE
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Karthikeyan Sankara (Karthik): Agile Framework for Managing and Measuring Enterprise Business Intelligence
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Pete Stiglich: Fact Qualifier Matrix Redux
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Thomas C. Redman: Decision Criteria Through The Data And Information Lens
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Waffa Karkukly: Global PMO Implementation – Part IV

This article, Part IV, is the last in a multi-part series on the implementation of a global Project Management Office (PMO). Part I covered the requirements for creating a PMO and the necessary steps to establish a successful PMO. It also included the elements and processes which constitute a global PMO.
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Karthikeyan Sankara (Karthik): Agile Framework for Managing and Measuring Enterprise Business Intelligence

Enterprise Business Intelligence solutions are complex from an implementation standpoint because of the Develop – Support (Growth-Sustain) cycle followed concurrently. Every enterprise wide BI system continuously evolves over a period of time with new business functionality getting added at regular intervals and they need to be in conformance with existing ones. Also, with continuous evolution of functionality comes the question – “How does one measure the progress”?
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Pete Stiglich: Fact Qualifier Matrix Redux

The venerable Fact Qualifier Matrix (FQM) has been a tool long used for demonstrating for Dimensional models how fact and dimension tables intersect to ensure that Dimensional models are conformed. A key principle of dimensional modeling is that dimensions must be conformed in order to ensure drill across from one fact area to another. Without conformed dimensions the result is independent data marts which wreak havoc with reporting and analysis (and are also inefficient). If you have two distinct customer dimensions (with differing definition and granularity) analysts may assume the definition for one when working with the other. The Fact Qualifier Matrix consists of rows listing fact tables and columns listing dimensions such as below.
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Thomas C. Redman: Decision Criteria Through The Data And Information Lens

Perhaps no single management topic has been more closely studied, from so many angles, as decision-making. This paper introduces the “data and information lens,” as a new viewpoint for examining decision-making. It is the most direct way of doing so because decisions involve nothing but data and information.
Letter From the Editor
October, 2008
Welcome to another edition of Real-World Decision Support!
Every issue of this journal hosts a variety of excellent articles on various topics in information management, data warehousing/decision support and business intelligence. We are fortunate to be able to highlight the release of a new book by this issue’s featured contributor, Dr. Thomas Redman, on the “Data and Information Lens”. The journal is pleased to have some returning authors (Waffa Karkukly, Karthik Sankaran and Peter Stiglich).
However, the journal’s success depends upon the contributions of the readership, so we continually solicit submissions of articles and papers from the professional and academic communities in information management and decision support and project management. Articles addressing concepts, project management and organizational issues as well as technical and implementation solutions are part of the collection. Remember, there is something here for those who are interested in information management but are not technically inclined.
If you are an author, either professional or academic, or if you would like to start building your writing portfolio, please contact me at contact me.
Sincerely,
Anne Marie Smith, Ph.D.
Editor-in-Chief
Real-World Decision Support
Calling All Writers
Real-World Decision Support is an electronic journal dedicated to providing informative,
vendor-neutral, real-world solutions to the challenges of implementing decision
support / data warehousing systems, meta data management, business analysis,
information management and governance initiatives.
The journal is published January 1, April 1, July 1 and September 1 – submissions
are due on the 1st of the month preceding the publication date, to allow for
the review and editing processes to be completed. Guidelines for authors and
topics can be found at realworlddecisionsupport.com.
So if you have something to say that applies to the world of decision support,
data warehousing and business intelligence, data modeling, meta data management
and governance, project management, or business analysis, contact Anne
Marie Smith.
If we accept your submission, you will receive a byline including a short biography and access to one of the largest information management audiences (over 28,000 readers). Articles are peer-reviewed and are expected to appeal to information management professionals and academics.
We can't guarantee we'll publish every submission, but we promise to consider every contribution.
Finally, please visit realworlddecisionsupport.com to view past issues of RWDS, to register to receive future issues, and to explore the white papers and other materials that may be of interest.
Sincerely,
Anne Marie Smith, Ph.D.
Editor-in-Chief
Real-World Decision Support