AI & Data
AI-Powered Analytics Dashboard
Built an LLM-enhanced analytics platform that surfaces critical business signals from millions of daily transactions in real time, cutting analyst report time from 6 hours to under 45 minutes.
The Challenge
Analysts spent 80% of their time collecting and formatting data, leaving only 20% for actual analysis. The existing BI tool was too rigid to answer ad-hoc questions, and data from 12 different source systems was siloed.
Our Solution
We built a real-time data lakehouse fed by Kafka streams from all 12 sources, with an LLM-powered natural language query layer that lets analysts ask questions in plain English and receive fully sourced, chart-backed answers.
How We Did It
- Data audit across all 12 source systems — quality scoring and lineage mapping
- Kafka-based event streaming for sub-second data freshness
- Delta Lake architecture for reliable, versioned analytical queries
- LangChain RAG pipeline with dbt-generated semantic layer as context
- Grafana dashboards with drill-down to LLM-generated narratives
Key Outcomes
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