¬ 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

https://twitter.com/sarahcat21/status/1532077087250452480

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.

https://twitter.com/cavorax/status/1532054828192608257

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