LLM APIs for Data Analytics: Natural Language BI, SQL Assistants, and Reports
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Analytics AILLM APIText to SQLBusiness Intelligence
LLM APIs can make analytics tools easier to use by turning natural language questions into queries, summaries, and explanations.
Use cases
Analytics workflows include:
- text-to-SQL
- dashboard explanations
- metric summaries
- anomaly narratives
- report drafts
- data catalog search
Permissions matter
The model should only access data the user is allowed to see. Enforce permissions before query generation and execution.
Validate generated SQL
Generated queries should be checked, limited, and reviewed before execution, especially on production databases.
Final thoughts
LLM APIs can improve analytics access, but safe systems need permissions, query validation, and clear source data.