AI-Powered BI: Taming a 2,000-Table Database

The Challenge

The client was data-rich but insight-poor. Non-technical teams couldn't get answers from their massive 2,000-table database (with millions of rows) without waiting days for a data analyst to write complex SQL.

The 'Vibe'

"They wanted a tool that felt 'as simple as a search bar' but was powerful and secure enough to navigate their entire data universe, complete with role-based access."

My Solution

I built a bespoke, secure text-to-SQL platform. Users ask questions in plain English. The system uses a Knowledge Base and embeddings to understand the complex schema and crafts SQL queries. It intelligently validates, assigns a confidence score, and only runs queries above a set threshold, refining those that fail. It delivers insights as synthesized summaries, interactive charts, or downloadable CSVs, with a full feedback loop for retraining.

Core Tech Stack

LLM API (e.g. GPT 4o), Proprietary Software, Vector Database, SQL Tooling, React, Role-Based Access Control (RBAC), Data Visualisation

The Outcome

"Empowered non-technical teams to get Instant business intelligence, reducing ad-hoc report requests by 90%. The built-in feedback loop continuously improved the AI's accuracy, making it a core, self-learning asset for the company."