Euronext: Driving market share insights with AI agents

Euronext's dashboards covered recurring reporting, but many day-to-day market-share questions needed custom analysis that had to be routed through a small analytics team, creating bottlenecks. Euronext built a Market Analytics Assistant Agent in Dataiku, customized to its own market-share logic and business definitions, that translates natural-language questions into governed SQL queries against trusted datasets and returns traceable, structured answers. Questions that used to take hours now resolve in seconds, and time on recurring market-share queries fell 20%, freeing analysts for higher-value work while keeping analytics control over definitions and validation. Head of Global Analytics Thomas Lagrange said the agent 'helps us get answers directly to the people who need them, without always going through the data team.'

Dataiku is a low-code/no-code AI platform whose Prompt Studios and LLM Mesh let teams prototype and A/B-test candidate LLM approaches before committing to a production workflow.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.