AI Data Analytics — Ask Questions, Get Dashboards & Reports
Four AI agents collaborate: a query writer translates plain English to SQL, an insight generator finds trends, a dashboard builder creates visualizations, and a report assembler delivers scheduled summaries.
Natural Language to SQL
Ask a question in plain English — the AI writes the query, runs it, and explains the results
"Why did signups drop this week?"
Generated SQL
SELECT date_trunc('day', created_at) AS day,
COUNT(*) AS signups,
LAG(COUNT(*)) OVER (ORDER BY date_trunc('day', created_at)) AS prev_day
FROM users
WHERE created_at >= NOW() - INTERVAL '14 days'
GROUP BY 1 ORDER BY 1;Result
| Day | Signups | Change |
|---|---|---|
| Feb 13 | 187 | +12% |
| Feb 14 | 204 | +9% |
| Feb 15 | 178 | -13% |
| Feb 16 | 163 | -8% |
| Feb 17 | 108 | -34% |
AI Insight
Signups dropped 34% on Feb 17 coinciding with a landing page deploy. The /pricing page had a 500 error from 2:00-6:00 AM UTC. Recommend reverting the deploy and monitoring recovery.
Auto-Generated Dashboards
The dashboard builder creates interactive Chart.js visualizations from your data
Weekly KPI Dashboard
6 metrics tracked, updated daily. Signups, revenue, churn, MRR, DAU, and NPS — all in one view with trend lines.
Revenue Breakdown
By product, by region, by channel — interactive filters let you slice revenue data from any angle.
User Funnel Analysis
Signup → Activation → Retention — with drop-off percentages at each stage and cohort comparisons.
Sample Workspace Stats
What a typical data analytics office produces in its first month
Databases Connected
3
Queries Run
2,847
Dashboards Generated
24
Reports Scheduled
8
What It Does
Natural Language to SQL
Ask questions in plain English. The query writer agent translates them into optimized SQL for your database dialect.
Multi-Database Support
Connect PostgreSQL, BigQuery, MySQL, and Google Analytics. Query across multiple sources seamlessly.
Interactive Dashboards
Auto-generated HTML dashboards with Chart.js visualizations. Self-contained files you can share anywhere.
Automated Insights
AI identifies trends, anomalies, and opportunities in your data — with severity levels and action recommendations.
Scheduled Reports
Daily KPI snapshots, weekly trend reports, and monthly deep-dives delivered on your schedule.
Four Specialized Agents
Query writer, insight generator, dashboard builder, and report assembler work together on every question.
Connected Integrations
PostgreSQL & MySQL
Direct connections to your relational databases. The AI reads your schema, understands table relationships, and writes optimized queries.
BigQuery
Query your data warehouse at scale. The AI handles BigQuery-specific syntax, partitioning, and cost optimization automatically.
Google Analytics
Pull traffic, conversion, and user behavior data directly. Combine web analytics with your internal database for complete business intelligence.
How It Works
From database connection to automated reports in under 5 minutes.
Connect your databases
Link PostgreSQL, BigQuery, MySQL, or other data sources via MCP integrations.
Ask questions
Type plain English questions about your business data. No SQL knowledge needed.
Get answers
AI writes queries, generates insights, builds dashboards, and delivers scheduled reports.
Common Questions
How does natural language to SQL work?
You type a question like "why did signups drop this week?" The query writer agent understands your database schema, translates your question into optimized SQL for your specific dialect (PostgreSQL, BigQuery, or MySQL), executes it, and passes the results to the insight generator for analysis and recommendations.
What kind of dashboards does the Data Analytics team create?
Interactive HTML dashboards with Chart.js visualizations — bar charts, line graphs, pie charts, and tables. Each dashboard is a self-contained HTML file you can open in any browser or share with your team. The AI designs the layout based on the data patterns it finds.
Can I schedule recurring data reports?
Yes. Set up daily KPI snapshots, weekly trend summaries, or monthly deep-dives. The report assembler agent generates structured reports with tables, key metrics, trend analysis, and actionable takeaways — delivered on whatever schedule you configure.
Do I need to know SQL to use this?
No. The entire point is that you ask questions in plain English and the AI handles the SQL. You can ask "what is our revenue by product this quarter?" and get the query, results, a chart, and written analysis — without writing a single line of SQL. Advanced users can also review and edit the generated queries.
How does it handle multiple databases?
You connect each database as an MCP integration — PostgreSQL, BigQuery, MySQL, or Google Analytics. The AI understands which database holds which data and routes queries accordingly. You can even ask cross-database questions, and the AI will query each source and combine the results.
Deploy your AI Data Analytics office
Start turning plain English questions into SQL queries, dashboards, and reports today.