Why LLMs Need a Semantic Layer That Already Exists in the BI Stack
Why LLMs Need a Semantic Layer That Already Exists in the BI Stack
Every enterprise deploying a large language model over its business data runs into the same wall. The model can read the dashboards, query the warehouse, and answer in fluent language, yet its answers keep disagreeing with the numbers the business already trusts. The instinct is to blame the model. The real problem sits one layer below: the model was never given a governed meaning for the metrics it is asked about.