¬ consistent ⇒ ¬ valid ⇒ ¬ accurate

If it’s not consistent, it can’t be valid.

If it’s not valid, it can’t be accurate.

If it’s not accurate, who cares if it’s timely?

No amount of tooling, people, or process will transform invalid, inconsistent, inaccurate, untimely data into powerful insights, products, and applications


Data tools, people, and titles are ibuprofen so that the stakeholders don’t feel the pain of difficult data. But the pain remains if the source data isn’t addressed.


This post was adapted from a note sent to my email list on Machine-Centric Science.
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