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IAIDQ's Information and Data Quality Newsletter

Vol. 7 Issue 3—July 2011

In this edition…

From the IAIDQ President

By: Christian Walenta, President of IAIDQ

From the Editor

By: Michelle C. Dy, Editor-in-Chief, IAIDQ Newsletter

The Wondrous and Perilous Properties of Data and Information in Organizations

By: Thomas C. Redman PhD

Dr. Thomas Redman describes the ten properties that make an organization’s data and information assets different from most traditional assets.

Case Study: Aera Energy LLC Uses Anecdotes from Knowledge Worker Surveys and Stories to Build the Case for Information Quality

By: Danette McGilvray

Danette McGilvray demonstrates how an oil company in California garnered support for establishing a comprehensive IQ Process and funding for a five-year, multi-million dollar Enterprise Architecture Implementation project.

Best Practices for Implementing Data Quality Metrics

By: Walter Howard

Walter Howard shares Best Practices for Implementing Data Quality Metrics which organizations of all sizes can use to start quantifying the depth, breadth, and cost of data quality errors.

Quality in Information Delivery Part 4: Definitions, Conditions, and Footnotes

By: Michael Scofield

Michael Scofield argues that management reports are incomplete if they do not include meta-information that describe the origin of the data and the processing that has been applied to produce the final data points.

Association News

Read online [Online magazine format] Members only

Print friendly version — complete newsletter [PDF] Members only

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.


July 2011