Spreadsheet Liquidation: Turning Raw CSV Data Into Clear Narrative Insights
Most business data dies in spreadsheets. A founder stares at 2,000 rows of numbers and concludes — correctly — that they don't have time to analyse it. AI has eliminated every barrier between raw CSV data and clear, actionable insight.
The Tools
ChatGPT's Advanced Data Analysis allows you to upload any CSV file and ask questions in plain English. It writes and executes Python code in the background and returns charts, tables, and plain-English summaries.
Julius AI is purpose-built for business data analysis. It proactively identifies anomalies and outliers, generates multi-variable correlation analysis, and produces a structured "key findings" report.
Rows AI is a spreadsheet platform with native AI built in. Connect it directly to your data sources (Stripe, Google Analytics, HubSpot) and it automatically refreshes and summarises your data on a schedule.
The Output Standard
Good data analysis doesn't just describe what happened — it explains why and recommends what to do next. When prompting AI for data analysis, always ask for: the key insight in one sentence, the three most important findings, the one anomaly that requires investigation, and the recommended action for each finding.