The pilot works. The rollout does not. Almost always, the reason is sitting in the data layer, and it was there long before anyone said the word model.
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Notes from inside enterprise data work
Short pieces on the problems we keep running into: quality that does not hold, AI programmes that stall, migrations that lose the room. Written by the people doing the work.
Articles
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Migrating a warehouse without losing trust in the numbers
Moving the data is the easy half. The half that decides whether the migration is judged a success is proving the new numbers match the old ones, to people who are accountable for them.
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Data quality is an operating problem, not a tooling problem
Buying a monitoring tool is the easy decision. Deciding who gets woken up when it fires, and what they are expected to do, is the one that determines whether quality improves.
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Recognise any of this in your own estate?
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