Thanks. I wonder if a reasonable approach could then be to first insert the data in a datawarehouse-like database suitable for analytics, and then use an LLM application to (1) generate SQL queries that could answer my question, reasoning about the schema (2) potentially summarize the output result set. It could still result in a significant boost of productivity.
Indeed, that is a promising path. Fundamentally you still want to reply on a human to figure out what analytics are interesting to consider, then having the LLM act as a helper that generates queries corresponding to the analytics.
