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.
Register or login for access to this item and much more
All Information Management content is archived after seven days.
Community members receive:
- All recent and archived articles
- Conference offers and updates
- A full menu of enewsletter options
- Web seminars, white papers, ebooks
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access