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IAIDQ's Information and Data Quality Newsletter

Vol. 7 Issue 1—January 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

Managing Information as Product Part 2: Why Information as By-Product Will Not Work

By: Yang W. Lee, Leo L. Pipino, James D. Funk, Richard Y. Wang

Yang W. Lee, Leo L. Pipino, James D. Funk, and Richard Y. Wang explain the limitations that are inherent in the “Information as By-Product” approach, and demonstrate the benefits of managing “Information as Product.”

Case Study: Steelcase Inc. Uses Lean Techniques to Improve Product Data Management and Quality

By: Steven C. Bell and Michael A. Orzen

Steven C. Bell and Michael A. Orzen illustrate how Lean Techniques have been successfully applied to radically improve data quality and data management processes, and generate hard, bottom-line savings.

Evaluating Business Impacts of Poor Data Quality

By: David Loshin

David Loshin elaborates on the types of risks attributable to poor data quality, and proposes an approach to correlate the impact of these data flaws on business performance.

Poor Data Can Cost You Money and Get You Sued

By: Tony O'Brien

Tony O'Brien reminds us of the high costs of low quality data, and highlights the importance of establishing a Data Governance strategy.

Ensuring Maintenance Data is Good Enough to Trust: Understanding the Characteristics of Data Quality

By: David Berger P.Eng.

David Berger explores 16 characteristics of trustworthy data by defining each characteristic and providing examples that show how easily trustworthy data can be compromised.

Quality in Information Delivery Part 3: Common Mistakes in Information Expression (Misuse of Color, Inconsistent Dimensions, Unreadable MS Excel Defaults)

By: Michael Scofield

Michael Scofield provides solutions for common errors involving the misuse of color, inconsistent dimensions, and unreadable MS Excel chart defaults.

Information Quality Tips & Best Practices: The IQ Minute – Data Quality Pitfalls in MS Excel

By: John Musgrove P.E.

John Musgrove expounds on the data quality problems that arise from the use of MS Excel spreadsheets as data repositories.

Association News

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.


January 2011