Data quality – polluter pays?


Ken O’Connor has written a great blog where he uses the analogy of upstream factories and river pollution for data quality.

I can see myself using this analogy in the future (with appropriate attribs to Ken) with others such as data quality debt to help articulate issues around the whole data management/quality space.

Do you want to continually keep paying to clean up the effects of the pollution or don’t pollute in first the place?

With the environment there is the ‘polluter pays principle’.

Would an analogous principle of – ‘poor data quality producer pays principle’ – be useful in an enterprise?

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