IAIDQ's Information and Data Quality Newsletter
Vol. 5 Issue 3—July 2009
In this edition…
Dr. Matthew West gives us an update on ISO 8000—the Emerging Standard for Data Quality. The standard focuses primarily on the quality of master data used to integrate the supply chain. Dr. West also describes an approach he hopes will be included within the ISO 8000 family of standards.
Maureen Clarry gives us the first step to overcoming organizational barriers by highlighting patterns of organizational dysfunction in her article entitled Power, Politics, and Partnership in Information Quality Initiatives.
Steve Sarsfield stresses the importance of presenting information quality metrics in terms that are meaningful to executives and stakeholders in his article, Doctoring Up Your Data with Business Metrics.
Daragh O Brien starts his series on KPIs for Information Quality in this issue by helping us determine what actually needs to be measured.
Michael Scofield begins a two-part series entitled Quality of Derived Data, and highlights the factors that affect the quality of the aggregates and derivations that we encounter every day.
In Caution – Relationship Work Ahead, Michael P. Meier delves into the rich and complex world of data relationships, and explains why any data quality approach that ignores the subtleties of relationships will fail.
- IAIDQ's fifth birthday celebrations
- IAIDQ launches sponsorship program
- News from members
- Call for volunteers
- Call for contributions to future issues of the IAIDQ Newsletter
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The Information and Data Quality Newsletter is a quarterly publication of the International Association for Information and Data Quality
This Issue’s Editor: C. Lwanga Yonke, Michelle C. Dy
If you are interested in joining the Newsletter Working Group, please contact the Editor-in-Chief via email.
© 2009 International Association for Information and Data Quality
Authors of contributed content retain their respective copyrights. The Editorial Board and the International Association for Information and Data Quality cannot be held responsible for any errors or omissions, and accepts no liability whatsoever for any loss or damage howsoever arising. Opinions expressed within the contributions and relevant linked pages are those of their respective authors.