Analyzing data with ChatGPT

OpenAI’s latest guidance shows how ChatGPT can transform raw data into actionable insights with minimal setup. Users can upload CSV or Excel files, paste tables, or connect supported data sources directly within ChatGPT, then ask plain‑language questions to explore, clean, visualize, and summarize the information. The tool also offers integration into Excel and Google Sheets via a sidebar, allowing users to request changes, build KPI summaries, or update assumptions without leaving their familiar spreadsheet environment. The documentation stresses the importance of structured prompts—specifying desired outputs, defining success metrics, and setting ground rules to prevent misinterpretation of correlations. By providing examples of how to request exploratory data analysis, hypotheses, and follow‑up questions, the guide helps users focus their analysis on business impact, such as identifying conversion bottlenecks or operational bottlenecks. The emphasis on clear, reusable outputs—like clean tables or executive summaries—supports collaboration and decision making. This approach democratizes data analysis, enabling non‑technical stakeholders to leverage AI for rapid insight generation and informed action.