Managing metrics across teams can feel like everyone’s speaking a different language, which often leads to loss of trust in numbers.
That’s why our Co-Founder & CEO, Sarah Levy, partnered with Silja Märdla, Staff Analytics Engineer at Bolt and a Euno customer, to share a practical framework for tackling this challenge in a hands-on webinar.
Based on a real-world use case, Sarah and Silja would like to show you how to establish a governed source of truth for metrics that works at scale and builds a solid foundation for AI integration.
You’ll explore:
- How Bolt’s data team governs consistent metrics for different data users and leverages Euno’s automations to navigate the overlap between Looker and dbt.
- Best practices for deciding where your metrics belong and how to optimize engineering and maintenance workflows across Databricks, dbt and Looker.
The goal is to help you contribute to a self-serve experience with consistent metric definitions, so business teams and AI agents can access the right data at the right time without endless back-and-forth.
This webinar draws from Euno and Bolt’s session at the 2025 Databricks Data + AI Summit, available to watch here.
