IAIDQ's Information and Data Quality Newsletter
Vol. 6 Issue 2—April 2010
In this edition…
Jack Olson completes his two-part series on Data Quality Assurance. Part Two focuses on the Activities that any Data Quality Assurance program can engage in to bring about data quality improvements.
Richard Trapp, in his article entitled The Non-Traditional Challenges to Achieving Data Quality Success, identifies eight challenges in four distinct data quality gap areas, and presents considerations for overcoming them.
Johny Morris expounds on his Practical Data Migration (PDM) approach and explains how such an approach addresses Data Quality in Data Migration Projects.
Graham Rhind shares Best Practices for High Quality Data from Web Forms to counter poor designs and improve the quality of the data our forms collect.
Daragh O Brien goes Beyond Scorecards and Measures in a new series that explores the issue of Motivation and Leadership in Data Quality Management. Part 1 appears in this issue and focuses on Motivation.
Carlo Batini and Monica Scannapieco survey existing Classifications of Data Quality Costs and Benefits and present an integrated classification model that can be used as checklists during cost-benefit analysis activities.
- 2010 Information and Data Quality Conference co-located with the Annual Data Governance Conference June 7 – 10, San Diego, California
- 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.
© 2010 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.