Poor Data Quality Can Be Embarrassing

Data quality is one of the biggest barriers to using information effectively, but it’s a hard problem to fix because of the limitations of human nature.

To illustrate the point, here are some unfortunate folks who are responsible for data quality initiatives yet who managed to misspell “data quality” in their LinkedIn job titles (let he who has never made a spelling mistake cast the first stone!).

FYI, I have tried to contact the people concerned to let them know, but didn’t always succeed.

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