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Author's profile photo Timo ELLIOTT

Poor Data “Qualty” 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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      3 Comments
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      Author's profile photo Former Member
      Former Member

      Ha ha funny and to the point.

      Author's profile photo Ina Felsheim
      Ina Felsheim

      Well said, Timo. Quality is a direct predecessor to trust, especially when we're talking data. When quality errors are immediately egregious, most people simply stop using that data for their analytics. (We always hope that they raise the issue, specify what is wrong with the data, and indicate the business value of having correct data in the case. But...this doesn't always happen. 🙂

      All the more reason to be routinely scanning the data used for key decisions and analytics projects. Oh, and we have a product for that. SAP Information Steward.

      Author's profile photo Jürgen L
      Jürgen L

      Google has 9140000 hits for Qualty

      172000 hits in LinkedIn

      and 9960 for seeking qualty site:linkedin.com like

       

      Seeking Thought Leaders in Qualty Management

      Seeking HSEQ/Qualty Manager for long term


      which means that even such Qualty guys may find new jobs