OpenAI's ChatGPT can now analyze data directly from uploaded files, letting users explore datasets and generate insights without complex formulas or dashboards. Users can upload CSV or Excel files, paste tables, or connect data sources to ask questions in plain language. This approach works especially well for early-stage analysis when exploring what data contains and identifying anomalies.

Instead of building pivot tables or visualizations manually, ChatGPT can clean data, create charts, and extract key takeaways in shareable formats. The system helps translate findings into executive summaries and actionable decisions. Users should start by framing their analysis around a specific decision, providing context about definitions, timeframes, and key columns.

For reliable results, request exploratory data analysis followed by testable hypotheses rather than jumping to conclusions. Ask for specific visualizations with clear requirements like axis labels and units. Set ground rules such as not treating correlations as causation and flagging data limitations. Before making decisions, spot-check critical numbers to verify accuracy and ensure findings hold up.