EIMInsight · Volume 1 · Issue 8

October 2007

5 articles

Information Quality Management Methods - How To Use Information Quality Management To Make Your EIM Program Successful?
The state of your enterprise information depends on its data quality and meta data. Poor quality data coupled with incorrect interpretation and use of information from an enterprise application is a recipe for failure…
By Mike Jennings · Revised edition published at EWSolutions
Is The Information Objective, Believable and Reputable? - Guest Author James Funk
We have been discussing the issue of accuracy as it pertains to the quality of the information that is being used. There have been many books and articles that have focused on that information…
By Richard Wang · Revised edition published at EWSolutions
Self-Organizing Project Teams - Part 3 of We Don't Need No Stinkin' Methodology
In my last article, I described extreme scoping , an agile project management approach for building DW and BI applications. I mentioned that this new development approach requires a new dynamic project team structure…
By Larissa Moss · Revised edition published at EWSolutions
The Importance of Data Governance In A “Super Numbers Cruncher” Era
A recent book by a Yale University econometrician, Ian Ayers, looks at a new trend in organizations, changing the decision-making process from one based on expertise and intuition to a data-based effort. This change…
By Anne Marie Smith · Revised edition published at EWSolutions
3 Steps To Right-Size Your Architecture
The best place to start is at the beginning. Are you undertaking an effort to build a solution that involves reporting, analysis, mining, or running rules against your enterprise data? Before designing a data…
By Bruce Johnson · Revised edition published at EWSolutions

Also in Volume 1

Information Quality Management Methods - How To Use Information Quality Management To Make Your EIM Program Successful?

Is The Information Objective, Believable and Reputable? - Guest Author James Funk

Self-Organizing Project Teams - Part 3 of We Don't Need No Stinkin' Methodology

The Importance of Data Governance In A “Super Numbers Cruncher” Era

3 Steps To Right-Size Your Architecture

Also in Volume 1