Using AI for Data Analysis
Ask better questions of spreadsheet-style data, spot patterns, and validate findings before acting.
Use approved data only. Treat AI output as a draft and verify facts.
Mission brief
Using AI for Data Analysis
Ask better questions of spreadsheet-style data, spot patterns, and validate findings before acting.
AI as an Analysis Partner
AI can help frame analysis, identify trends, draft formulas, explain anomalies, and generate follow-up questions. It should not replace the source of truth, statistical validation, or expert review.
When working with data, start by classifying sensitivity. Use synthetic, aggregated, or approved data whenever possible. Ask AI to show assumptions, calculations, and caveats.