IAIDQ's Information and Data Quality Newsletter
Vol. 5 Issue 4—October 2009
In this edition…
Maureen Clarry continues her Power, Politics, and Partnership series by providing concrete strategies that Information Quality Leaders can adopt to counter systematic, dysfunctional patterns of organizational behaviour.
Jack Olson believes that data capture processes are the single most important place where data can be made accurate or inaccurate. His article gives us a checklist that we can use to evaluate our own data capture processes.
Graham Rhind highlights key findings from a Data Quality survey commissioned from MCC International Ltd by Capscan. Read the survey results to compare your own organization against survey respondents.
Michael Scofield completes his two-part series on the Quality of Derived Data, and explains why attention must be given to the way data are summarized and manipulated if decision-makers are to receive meaningful information.
Guy Tozer presents six key principles by which any organization's data architecture can be judged, and outlines the possible implications of each principle in a typical systems environment.
Daragh O Brien, in Part 2 of his series on KPIs for Information Quality, describes practical considerations when deciding how best to summarize raw metrics data into information quality measures.
Nonna Milmeister shares insights gleaned from the Data Quality Asia Pacific Conference. This article is a must-read for anyone who's still debating whether or not to attend the 2010 IDQ Conference in San Diego.
- Two great conferences in one event
- News from members
- 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.