The Excel Problem
Excel and Google Sheets democratized data analysis but created a skills ceiling. Complex analyses require VLOOKUP chains, pivot tables and increasingly convoluted formulas that many business users cannot build. AI analytics is removing this ceiling.
Conversational Analytics Platforms
ThoughtSpot, Julius AI and Microsoft Copilot for Excel allow business users to ask natural language questions of their data. "Show me sales by region compared to last quarter, excluding returns" becomes an immediate chart rather than a twenty-minute spreadsheet exercise.
AI-Assisted SQL
For teams working with databases, tools like MindsDB and the AI features in DBeaver allow analysts to describe what they want in plain English and receive SQL queries to run. This dramatically accelerates analysis for analysts who know what they want to find but struggle with complex query syntax.
Automated Insight Generation
Platforms like Amplitude AI, Mixpanel and Heap now surface anomalies, trends and cohort differences automatically rather than waiting for analysts to think to look. Proactive insight generation means business-critical changes in user behavior surface faster.
The Human Judgment Gap
AI excels at finding patterns in data but struggles to determine which patterns matter for business decisions. The combination of AI speed and human business context judgment consistently outperforms either working alone. Build workflows where AI surfaces candidates and humans make final calls.
