A broken data pipeline doesn’t usually announce itself with drama.
It starts smaller. A column changes. A field disappears. A definition shifts. A downstream report looks a little off. An AI model starts using stale data. A dashboard that used to be trusted becomes a source of debate. Someone asks what happened, and suddenly five teams are in a meeting trying to reconstruct a change nobody documented clearly.
This is why matter.
What is a data contract?
are formal agreements between data…