Jean-Mathieu Saponaro, Data & Analytics Senior Engineering Manager at Datadog, delivered a presentation about scaling self-serve analytics within the company up to 5,000 employees. Self-serve analytics is a dream for any Data & Analytics team: empowering everyone in the company to make data-informed decisions without requiring their help. The Data & Analytics department at Datadog built a suite of tools, including data intake, transformation, quality, discovery, and reporting, on top of open-source technologies. They focus on three pillars: data, tools, and knowledge. Jean-Mathieu explains how his teams provide a single source of truth for all internal data, intuitive tools to leverage it, and data literacy thanks to support and training. He acknowledges limitations of self-serve analytics and how to mitigate them. The presentation also covers the importance of education/user training, user support, experts, and defining success in a self-serve analytics strategy. Jean-Mathieu shares Datadog's experience in scaling self-serve analytics as the company grew from 200 employees to 5,000 global employees, highlighting key metrics for tracking success and the importance of unmeasurable signals. The presentation concludes that any digital company can learn from Datadog's experience in implementing a robust self-serve analytics offering.