A big shift is happening: data warehouses are now targeting business users, powered by AI agents. But a critical gap remains: these agents lack full context.

AI for analytics doesn’t need a perfectly finished semantic layer. It needs metadata that works!

Cut data costs smartly in 2025: avoid waste, fix costly queries, and eliminate zombie data across your stack for competitive advantage.

An inside look at how Bolt’s data team manages thousands of metrics across Databricks, Looker, and dbt with Euno.

Discover how to write an RFP for enterprise data lineage tools that gets results. This template helps you align stakeholders, and clarify requirements.

Enterprise-grade data lineage is essential for modern data management, powering discovery, governance, optimization, and AI readiness. It transforms static diagrams into a living system.

Learn how to transform metadata into an actionable foundation for governance and AI readiness when using Tableau and dbt.

Discover the top 8 active metadata management tools in 2025 to govern and manage data.

Madison Schott of Learn Analytics Engineering shares what data teams need to do before adding AI to their stack.

Euno now lets you create active metadata tags based on your own logic.

Explore how Active Metadata Management can help you quickly trace data errors and improve the reliability of your business insights.

You’ve got an AI-driven analytics initiative. Before AI can deliver trusted insights, there’s a fundamental question you need to answer: Are your data assets ready?

Data governance sets the intent and policies for trusted data use, while data management ensures they’re followed. AI now bridges the gap by automating compliance.

With Euno as a native app on Snowflake, our customers can leverage deep metadata across data and BI layers to drive data democratization, without compromising governance.

Though playful on the surface, FDC takes a hard look at the core practices data professionals often take for granted.

97% of data leaders face challenges using the data effectively. The reason? A lack of trust. And now, generative AI is making this problem worse.

Learn why the semantic layer is often overlooked and why it’s so crucial for businesses looking to scale AI and analytics effectively.

Discover the top 5 must-have features for a modern metadata catalog in 2025 and how they can transform your data management.

Avoid metric confusion and build trust by centralizing key business metrics in a semantic layer—your single source of truth.

Euno’s CEO and data leader Sarah Levy reveals the true challenge of analytics in organizations (hint: it’s not the tech, it’s the people).

Explore the challenges of data governance, the role of semantic layers in ensuring data trust, the emergence of analytics engineers and much more.