Conversational Analytics at Scale
AI-Powered Chat with Data Analytics Platform
A conversational analytics platform allowing users to query business data using natural language, powered by ClickHouse and AWS.
Sub-second
Query Speed
Production
Platform
ClickHouse
Database
Problem Statement
Non-technical stakeholders struggled to access business insights, relying on analysts for every data query and creating bottlenecks in decision-making.
Architecture
Frontend connects to Python backend on AWS EC2, which processes NLP prompts, generates optimized ClickHouse queries, and returns structured analytics responses with Superset visualization integration.
Database
ClickHouse on AWS EC2 for high-performance analytical querying with materialized views for common KPI patterns.
Solution
Built an AI-powered platform that converts natural language prompts into optimized SQL queries, delivering structured KPI summaries, trend analysis, and formatted reports instantly.
Key Queries
- Dynamic SQL generation from natural language prompts
- Optimized aggregation queries on large datasets
- Time-series trend analysis queries
- KPI summary and comparison queries
Dashboards Built
- Real-time KPI monitoring dashboards
- Trend analysis visualizations
- Automated report generation outputs
Business Insights
Challenges
- Converting ambiguous natural language to precise SQL
- Optimizing query performance on large ClickHouse datasets
- Ensuring data accuracy in AI-generated responses
Future Scope
- Multi-language query support
- Advanced predictive analytics integration
- Role-based access control for sensitive data
- Scheduled automated insights delivery