IAIDQ's Information and Data Quality Newsletter
Vol. 7 Issue 4—October 2011
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In this edition…
Classifying Data Quality Problems
This is a seminal piece that offers early insights into the often complex nature of data quality problems and their solutions. While data quality research and knowledge have made progress since this article first appeared in 1996, we offer this article as an important contribution to the understanding of Data Quality.
The Information Quality Management Maturity Grid
Larry English provides a framework that organizations can use to assess the maturity of their information and information processes. By plotting our own organizations against the maturity grid, we gain valuable insights that can guide the development of our Strategic Plans for IQ Management.
Obscured by Clouds: The Case for and against Cloud-based Information Quality
Daragh O Brien cuts through the hype surrounding cloud-based solutions by reminding us that technology can only deliver real, long-term benefits if its use is carefully governed by an overall Information Architecture.
Quality in Information Delivery Part 5: What's the Message?
Michael Scofield concludes his multi-part series by showing us that the creation of useful information presentations begins with a clearly-articulated message. Quality in Information Delivery cannot be achieved if we do not wrestle with the raw data and determine the appropriate context for that data.
Association News
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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.
© 2011 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.
October 2011