Data and Using AI for Analysis: What to Do and What to Keep in Mind

This guide helps researchers and Institutional Research professionals navigate AI-assisted analysis workflows by identifying where LLMs excel (code generation, exploratory data analysis, drafting narratives) and where they fail (statistical interpretation, context collapse). Readers will learn operational principles such as verifying data governance before uploading, treating AI as a junior analyst, and maintaining a clear audit trail for accountability.

Task

Data & analysis

Time

15 minutes

Level

intermediate

Cost

Free — Nothing to pay. A free account at most.

Tools

None in particular

Published

2026-07-31