False precision
Pointing Claude at a data warehouse without safeguards produces confident, wrong answers — and cuts stakeholders off from infrastructure expertise.
The Challenge
Why pointing an LLM at a warehouse isn't enough — three ways analytics agents fail.
Concept-to-Entity Ambiguity
With hundreds of viable tables, which fields define an 'active user' — what filters, what lookback window?
Data Staleness
Business definitions and schemas change constantly, so the agent's knowledge silently decays.
Retrieval Failure
The right information exists but stays buried in a vast search space the agent never reaches.