Andrew Le Breuilly is Chief Product Officer at Purify Intelligence, where he focuses on modernising how quantitative research data is structured, governed, and made AI-ready. With a background spanning data engineering, analytics, and insight delivery, Andrew works at the intersection of research methodology and modern data architecture, helping organisations move beyond legacy formats and manual workflows. He is a strong advocate for transparency, scalability, and responsible use of AI in research, and regularly speaks on how better data foundations unlock faster, safer, and more meaningful insight.
Sessions
Jun 24
2:15 PM - 2:35 PM GMT+2
Green Stage
AI for Quant Research
Data Analytics & Visualization
Quantitative Research
Research Automation
When Numbers Start Talking: Conversing with Your Quant Data
AI has transformed qualitative research, but quantitative data remains harder. Scales and coded responses demand structure most LLMs lack. The solution is modern data engineering: transform survey data into structured, big-data formats first. Then you can ask, “Show satisfaction by region and age,” and instantly get weighted, anonymised, significance-tested results in plain language. Key Takeaways: 1. Why AI’s next frontier in research is quantitative data 2. How modern data engineering architecture ensures scalability, security and consistency 3. Dynamic crosstabs in AI tools make data exploration fast, flexible and intuitive
