It is hard for me to believe that this marks the beginning of the 10th year of the Plain English about Information Quality column. As January is a month of reflection, renewal and resolutions, I reflect and celebrate the growth of information quality (IQ) as a discipline, then revisit our purpose and the journey ahead.

In the early and mid 1990s, my clients had data quality (DQ) functions whose role was to be a "data dump" where people sent defective information to be corrected. This was a very immature and reactive function, as were the early manufacturing quality functions. There was no real measurement and no real process improvement - just "scrap and rework" the defects as they were found. Now, organizations are addressing   formal measurement of IQ, and the leading-edge companies find and improve defective processes to prevent defective information.

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