Neither extreme works
Waiting for a complete data platform before attempting any intelligence delays value indefinitely. Ignoring data quality entirely produces systems that cannot be trusted.
The practical answer is scoped: build the foundation required by the first use case, properly, and no further.
Definitions before pipelines
Most data disagreements are definitional. Agreeing what a term means, with an owner, resolves more than additional tooling.
Encode those definitions as tested transformations so they cannot drift silently.
Lineage as a requirement
Any figure presented to a decision-maker should be traceable to its origin without an investigation.
Lineage is cheap to build in and expensive to retrofit.
Considering a system like this?
We run a short technical discovery before proposing anything. If a simpler answer exists, we will tell you.
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