Architecture decides how data moves. The operating model decides whether the platform remains trusted, affordable and understandable after the first release.
Define who owns each layer
Source extraction, transformation, semantic models, reports and workflows need clear ownership. Without it, every incident becomes a meeting about responsibility before it becomes a fix.
Monitor what the business notices
Pipeline success is not enough. Teams need visibility into freshness, rejected records, definition changes, cost drivers and report availability.
Plan releases and exceptions
Data platforms change constantly. The question is whether releases are communicated, tested and reversible enough for business users to trust the environment.
Keep documentation close to delivery
Documentation should explain decisions, dependencies and operational routines. It should help the next person safely change the system, not only prove that a document was created.
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