AI Data Analysis: Ask Questions, Get Insights
You don’t need SQL skills to analyze data anymore. Ask questions in plain English.
Natural Language Analytics
Before AI
SELECT product_name, SUM(revenue) as total
FROM sales
WHERE date >= '2025-01-01'
GROUP BY product_name
ORDER BY total DESC
LIMIT 10;With AI
“What were our top 10 products by revenue this year?”
AI Analytics Capabilities
Query Translation
- Plain English → SQL
- Automatic joins
- Smart aggregations
- Error handling
Insight Generation
- Trend detection
- Anomaly alerts
- Pattern recognition
- Recommendations
Visualization
- Auto chart selection
- Dashboard creation
- Interactive exploration
Tool Options
| Tool | Best For |
|---|---|
| ChatGPT + Code Interpreter | Ad-hoc analysis |
| ThoughtSpot | Enterprise search |
| Power BI Copilot | Microsoft users |
| Tableau Ask Data | Tableau users |
| Domo | Business users |
Use Cases
Sales Analysis
“Why did revenue drop last month?”
Marketing
“Which campaign had the best ROI?”
Operations
“What’s causing the spike in returns?”
Finance
“How does this quarter compare to last year?”
Best Practices
- Clean data first - AI can’t fix bad data
- Start simple - Basic questions first
- Verify results - Cross-check important findings
- Iterate - Follow-up questions refine insights
Want to unlock insights in your data? Let’s discuss AI analytics.