Francesco Puppini

Professor, Keynote Speaker, Data Modeling Innovator, R&D Engineer and Author of ‘The Unified Star Schema’

Bio

Francesco Puppini is the inventor of the Unified Star Schema, a methodology aimed at resolving the "last mile challenge" of delivering accurate information to business users. Francesco co-authored the book Unified Star Schema with Bill Inmon and has applied his expertise to numerous projects across Europe, focusing on eliminating data duplication errors through innovative definitions and methodologies.

Previous Community Presentations

The best Data Model for AI

When joins distort numbers and schemas hide essential relationships, even simple datasets can mislead. Francesco Puppini explains why this happens and presents a cleaner modeling method that eliminates duplication and improves analytical accuracy.

Building a Unified Star Schema on top of a Data Vault

Francesco Puppini highlighted the benefits of using the Unified Star Schema (USS) in building an Information Mart. He presented an alternative approach for handling large data volumes and included a live demo.

From Data Foundations to AI Impact: Building Trust, Scale & Value

Many companies struggle with AI because their data foundations aren’t ready. This talk highlights why clarity, governance and good data management matter more than any single tool.

Building the Unified Star Schema

Blending dimensional modelling principles into a unified structure improves consistency between analytics layers while reducing complexity in enterprise reporting systems.

SQL with LLMs: Chatting with Your Data

A real‑world perspective on how modelling discipline, curiosity, and practical SQL experience shape the way LLMs understand data, showing how better structures and metadata enable more natural, conversational querying