# Euno > Govern data models everywhere. Euno gives your data team a central hub to visualize, manage, and build data models across your entire stack. --- ## Pages - [integrations](https://euno.ai/solutions/integrations/): - [Get started](https://euno.ai/get-started/): See Euno in action. Simplify data modeling, unify business logic, eliminate silos, and enable AI-powered analytics. Book a demo! - [Home](https://euno.ai/): Euno gives your data team a central hub to visualize, manage, and build data models across your entire stack. - [Use cases (copy)](https://euno.ai/use-cases-copy/): Track your analysts’ activities with all BI logic mapped. Identify relationships, dependencies, and usage patterns. - [Resources](https://euno.ai/resources/): Explore active metadata management, data assets governance, AI-powered analytics, dbt semantic layer on the Euno blog. - [terms-and-conditions](https://euno.ai/terms-and-conditions/): TERMS AND CONDITIONS THESE TERMS AND CONDITIONS ("TERMS") GOVERN THE SUBSCRIPTION, ACCESS AND USE OF THE EUNO SOLUTION AND SERVICES... - [dbt](https://euno.ai/solutions/integrations/dbt/): Integrate dbt with Euno AI to enhance metadata intelligence, streamline data governance, and unlock smarter data-driven workflows. - [privacy-policy](https://euno.ai/privacy-policy/): Explore Euno's Privacy Policy: Learn how we protect your data, ensure compliance, and prioritize your privacy every step of the way. --- ## Posts - [What it really means to be AI-ready: Q&A with Madison Schott](https://euno.ai/resources/qa-with-madison-schott-what-it-means-to-be-ai-ready/): Madison Schott discusses AI readiness, data governance, and building trust in analytics in this insightful Q&A - [Announcing Metadata Enrichment with Custom Properties](https://euno.ai/resources/announcing-metadata-enrichment-with-custom-properties/): Euno now lets you create custom properties based on your own logic. - [Active Metadata Management: Best Practices for Modern Data Governance](https://euno.ai/resources/active-metadata-management-best-practices/): Explore how Active Metadata Management can help you quickly trace data errors and improve the reliability of your business insights. - [How to get your data assets AI ready](https://euno.ai/resources/how-to-get-your-data-assets-ai-ready/): You’ve got an AI-driven analytics initiative. Before AI can deliver trusted insights, there’s a fundamental question you need to answer:... - [How AI data management redefines the rules of data governance](https://euno.ai/resources/how-ai-data-management-redefines-the-rules-of-data-governance/): Data governance sets the intent and policies for trusted data use, while data management ensures they're followed. AI now bridges... - [Euno joins the Snowflake Startup Program](https://euno.ai/resources/euno-joins-snowflake-startup-program/): With Euno as a native app on Snowflake, our customers can leverage deep metadata across data and BI layers to... - [The hidden themes of Future Data Cringe](https://euno.ai/resources/the-hidden-themes-of-future-data-cringe/): Though playful on the surface, FDC takes a hard look at the core practices data professionals often take for granted. - [The road to AI begins with trusted data products](https://euno.ai/resources/the-road-to-ai/): Kickstart your AI journey with trusted data products. Learn how quality data fuels AI success on the road to innovation. - [Governed semantic layer: The missing piece in data & AI](https://euno.ai/resources/why-semantic-layers-matter/): Explore the governed semantic layer: the essential link for unifying data, improving AI accuracy, and empowering business insights. - [Top 5 must-have features for a modern Metadata Catalog in 2025](https://euno.ai/resources/top-features-for-modern-metadata-catalog/): Discover the top 5 must-have features for a modern metadata catalog in 2025 to enhance data discovery, governance, and efficiency. - [3 signs a metric is meant for the semantic layer](https://euno.ai/resources/signs-metric-is-meant-for-semantic-layer/): Learn how to determine which metrics belong in a semantic layer and which should stay in your BI tools for consistency & clarity. - [Modern data governance for analytics](https://euno.ai/resources/modern-data-governance-for-analytics/): 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). - [Blazing the trail to AI with data model governance](https://euno.ai/resources/the-road-to-ai-begins-with-data-model-governance/): Explore data governance challenges, semantic layers for trust, analytics engineering, and the integration of AI in modern data processes. - [Scaling dbt: Balancing self-serve analytics and central governance](https://euno.ai/resources/scaling-dbt-balancing-self-serve-analytics-and-central-governance/): Expert panelists share best practices for scaling dbt to handle transformations and metrics without stifling freedom or causing burnout. - [Observability, Workflows, AI: The Future of Data Teams Shines Bright](https://euno.ai/resources/the-future-of-data-teams-shines-bright/): Learn how Euno helps data teams prepare for AI-driven analytics—all by establishing a solid foundation with dbt™. - [Top 5 Challenges for Analytics Engineers](https://euno.ai/resources/top-5-challenges-for-analytics-engineers/): Discover the top challenges analytics engineers face and how collaboration, scalability, and tools like Euno help overcome them. - [Balancing freedom and governance](https://euno.ai/resources/building-a-great-team-culture/): Our CEO spills the beans on how to build the best team to solve the toughest problems without falling into biased traps. - [Freedom and governance are not mortal enemies](https://euno.ai/resources/freedom-and-governance-are-not-mortal-enemies/): Analyst freedom is not the problem of poor data model governance but part of the solution. Learn how to balance both. - [Making Tableau work with dbt™️](https://euno.ai/resources/making-tableau-work-with-dbt/): Bridge Tableau and dbt™ with a framework that balances analysts freedom, business logic governance, and fosters team collaboration. - [Getting Started with Looker & dbt Metrics](https://euno.ai/resources/getting-started-with-looker-and-dbt-metrics/): Learn to centralize metrics from Looker using dbt™ for streamlined workflows. Simplify data modeling and governance with Euno. - [Semantic layers: Turn chaos into meaning](https://euno.ai/resources/semantic-layers/): Discover tools for building a semantic layer, shifting metrics left with Euno, and creating a metrics mart in dbt™ for streamlined data. - [The Tableau Wild Wild West](https://euno.ai/resources/tableau-wild-wild-west/): Explore why data governance is essential for AI-driven insights and how to tackle challenges while using Tableau for trustworthy analytics. - [Q&A: Why Euno caught the attention of Tableau’s former CEO & President](https://euno.ai/resources/meet-new-advisory-board-member-mark-nelson/): Meet Mark Nelson, Euno’s newest advisory board member. Discover his vision and expertise driving innovation in data and analytics. - [Hello from Euno! Empowering data model governance for scale](https://euno.ai/resources/hello-from-euno/): Get to know Euno! Discover our mission to redefine data governance, streamline workflows, and empower smarter data-driven decisions. - [Data teams can't follow GenAI blindly](https://euno.ai/resources/data-teams-cant-follow-genai-blindly/): GenAI is transforming the landscape of automated data analysis and SQL query optimization. But what about data modeling and governance? - [Data dance: Balancing freedom and governance](https://euno.ai/resources/data-dance-balancing-freedom-and-governance/): Data is the heartbeat of businesses. How can we find the perfect balance between data analysts freedom and data model governance? - [Should we build this in Looker or dbt™?](https://euno.ai/resources/looker-vs-dbt/): Resolve the gap between Looker and dbt™. Learn how to align business logic between analysts and engineers for better collaboration. --- # # Detailed Content ## Pages ### integrations --- ### Get started See Euno in action️ Map, align and govern your data assets for consistent, trusted analytics. Discover business logic everywhere Build and maintain a metrics source of truth Certify your dashboards Declutter and cut cost Enable AI-powered analytics Book a 1:1 call We’ll only need 10 minutes to blow your mind.... --- ### Home Metadata Management Platform for AI and BI Success MetadataManagement Platform for AI and BI Success Governance that empowers, not restricts. Book a demo Make data certified & trustworthy MapAutomated Metadata CatalogUnderstand what analysts create in BI tools, the lineage all the way to the data layer, and the field-level utilization.... --- ### Use cases (copy) . container { display: flex; width: 80%; margin: 0 auto; } . headerContainer { margin: 0 auto; position: relative; display: inline-block; max-width:750px; } . compassContainer { } . needle-container{ } . compassBgImage{ max-width: 100%; height: auto; display: block; filter: drop-shadow(0px 0px 15px #0000004a); } . compass { position: absolute; max-width:... --- ### Resources The Eunoverse Your destination for ebooks, podcasts and articles on active metadata management @media (min-width: 990px) { /* Target the form by ID */ #hsForm_15a1fb1d-cd6b-423d-b614-a1bf80e80f8e { display: flex; flex-direction: row; align-items: end; justify-content: center; width: 25. 62500rem; } label { display: none; } /* Input field styling */ #hsForm_15a1fb1d-cd6b-423d-b614-a1bf80e80f8e .... --- ### terms-and-conditions TERMS AND CONDITIONS THESE TERMS AND CONDITIONS ("TERMS") GOVERN THE SUBSCRIPTION, ACCESS AND USE OF THE EUNO SOLUTION AND SERVICES (AS SUCH ARE DEFINED BELOW). THIS IS A LEGAL AGREEMENT BETWEEN (A) YOU (REFERRED TO HEREIN AS "CUSTOMER", "YOU" OR "YOUR") AND (B) EUNO, INC. OR EUNO DATA AND ANALYTICS... --- ### dbt Euno meets you wherever you are on the dbt™ journey. Book a demo Centrally govern your entire data model See what your analysts are up to with all your BI logic mapped out. Understand relationships, dependencies, and utilization patterns to easily determine which most used models should be promoted to... --- ### privacy-policy Website Privacy Policy Euno Last Revised: August 2024 Delphi. io Inc. , together with its subsidiaries (“Delphi,” “Company,” “we,” “our” or “us”) respects the privacy of the visitors and/or users of its Site (“User(s)” or “you”) and is committed to protect the personal information that its Users share with it.... --- --- ## Posts ### What it really means to be AI-ready: Q&A with Madison Schott We caught up with Analytics Engineer and writer Madison Schott for a no-fluff conversation on what “AI-ready data” really means in the real world. From hidden blockers and AI hype to how data teams are actually using these tools—Madison doesn’t hold back. Introduce yourself! I’m Madison Schott, an Analytics Engineer... --- ### Announcing Metadata Enrichment with Custom Properties If you've been working in data long enough, you've probably noticed an uncomfortable truth: Your metadata doesn’t help you move faster.   You probably have usage stats, job history, ownership fields, lineage, table descriptions and column names, scattered across tools. But when it's time to make a decision or enforce... --- ### Active Metadata Management: Best Practices for Modern Data Governance Imagine this: Your team is preparing for a high-stakes executive meeting. A critical dashboard is pulled up, but something’s off: the numbers don’t match last week’s report. Panic sets in. Now, instead of focusing on insights, you’re scrambling to figure out what went wrong. Where is this data coming from?... --- ### How to get your data assets AI ready You’ve got an AI-driven analytics initiative. You’re exploring agentic AI tools, and the potential is exciting. But before AI can deliver trusted, actionable insights, there’s a fundamental question you need to answer: Are your data assets ready? The AI era is here Generative AI is already changing the way people... --- ### How AI data management redefines the rules of data governance Data governance vs data management We recently sat in on an insightful debate at Gartner’s Data & Analytics Summit, where experts addressed the difference between data management and data governance. The discussion reinforced how often these two concepts are misunderstood. Too many people still think of data governance purely as... --- ### Euno joins the Snowflake Startup Program We are excited to announce that Euno has been accepted to Snowflake's Startup Accelerator! This accelerator provides funding, technical and co-marketing support for strategic, early stage startups building an application on Snowflake. This accelerator marks a major milestone for us. With Euno as a native app on Snowflake, our customers... --- ### The hidden themes of Future Data Cringe The idea behind Future Data Cringe was simple. I asked 50 global data leaders: What are we doing today as data teams that we’ll look back on in 20 years as cringe? The responses came from current and former CEOs of companies shaping the data industry such as Snowflake, Tableau,... --- ### The road to AI begins with trusted data products 99% of data leaders say data is critical to their organization, yet 97% face challenges using it effectively. The reason? A lack of trust in their data. And now, generative AI is making this problem worse. Over the last decade, data stack technology advancements have revolutionized how businesses handle data,... --- ### Governed semantic layer: The missing piece in data & AI Data teams are investing more than ever in AI and analytics. But many still struggle to make their data truly accessible, consistent, and reliable. One major reason? The semantic layer. Without a curated semantic layer, self-serve AI is a pipedream! In the latest episode of the The Stacked Data Podcast,... --- ### Top 5 must-have features for a modern Metadata Catalog in 2025 What is a metadata catalog? If you had a magic crystal ball, what question would you ask it about your data assets? How is a specific metric calculated? Which tables weren’t created from a dbt model but are still highly used? Which model contains JOINs with fan-out? These aren’t trivial... --- ### 3 signs a metric is meant for the semantic layer Oh no, another Slack message from a stakeholder... “Why doesn't the total MRR for last year in Tableau match the total MRR for last year in Hubspot? ” Messages like this are every data analyst and analytics engineer’s worst nightmare as it means it’s time to pull up your sleeves... --- ### Modern data governance for analytics Sarah Levy, co-founder & CEO of Euno, joined The Joe Reis Show podcast for an interview that left no stone uncovered when it comes to data model governance.  Sarah and Joe delve into the persistent problems of managing data products and fostering effective collaboration within data teams.   Reflecting on... --- ### Blazing the trail to AI with data model governance Imagine spending millions on data tools only to find you can’t trust the answers they provide. What if different teams define key metrics in different ways? Without a clear, unified approach, chaos reigns, and confidence erodes. What role do data model governance and semantic layers play in helping you trust... --- ### Scaling dbt: Balancing self-serve analytics and central governance Adopting dbt™ marks a significant leap towards governed data transformations. But with every game-changer, big questions arise: Where do data transformations end? Should they touch the BI layer? What roles do data engineers, analytics engineers, and business analysts play in data modeling? And, is centralizing metrics truly beneficial? Spoiler: It's... --- ### Observability, Workflows, AI: The Future of Data Teams Shines Bright I’m still buzzing from sharing the power of Euno at dbt Labs’ Coalesce a month ago. It was so motivating to see how Euno’s vision aligns with that of dbt Labs—from Tristan Handy’s introduction of the Analytics Development Lifecycle (ADLC) to the announcement of the “One dbt” ethos that supports... --- ### Top 5 Challenges for Analytics Engineers Surprisingly, most of the challenges faced by analytics engineers aren’t super technical. They don’t involve rearchitecting your data warehouse, learning a new language, or even encoding business processes into data models. The largest challenges involve working with people, creating the right processes, using the right tools, and gaining a clear... --- ### Balancing freedom and governance I’ve experienced it firsthand—being the only woman on a leadership panel in data. But when data leader Lindsay Murphy shared on a recent LinkedIn post that 1 in 5 HR decision-makers hesitate to hire women who might start families, it really struck a chord. Three months ago, I had the... --- ### Freedom and governance are not mortal enemies About a month ago, I had the pleasure of being a guest on Ross Helenius’s podcast, Unlocking Value with Data. Ross, the Director of Analytics Engineering at Mimecast, and I explored the nuances of curating and governing data models for analytics teams. We talked about how to give your team... --- ### Making Tableau work with dbt™️ Launched publicly in 2003, Tableau was one of the major players in the BI 2. 0 movement of the early 2000s. Despite its age, as of 2024, Tableau is still ranked second in BI market share and has been recognized by Gartner as a leader in the market for 12... --- ### Getting Started with Looker & dbt Metrics Too often, metrics become trapped in BI tools like Looker. When metric calculations occur in the BI layer, they can’t be reused in other dashboards and reports, or tools outside Looker. Analytics engineers are left guessing about what dimensions are used downstream, and which metrics are being used most often... --- ### Semantic layers: Turn chaos into meaning "It depends. "“I’ll look into that. ” “Interesting question. I’ll get back to you. ”Data leaders want to give good, useful answers to their stakeholders, but they’re all too frequently busy giving answers like the above. Over the past decade, data teams have transformed their tooling and infrastructure, resulting in... --- ### The Tableau Wild Wild West Perhaps the most important principle when adopting modern analytics is that self-service and governance are not mortal enemies. Governance is what makes self-service possible. The entire purpose of self-service is to enable everyone to ask questions and make informed business decisions, fast.  But probably every data leader will agree that... --- ### Q&A: Why Euno caught the attention of Tableau’s former CEO & President It’s not every day that one gets to chat with data trailblazers such as Mark Nelson, former CEO and president of Tableau and now a Venture Partner at Madrona. Mark has been building and using data products for more than 20 years, from databases to analytics tools. These experiences have... --- ### Hello from Euno! Empowering data model governance for scale You probably don’t need us to tell you that data is at the heart of every modern business’ decision making process. However, what is often overlooked is the direct impact of your central data model on the speed and credibility of the data products you deliver. A data model is... --- ### Data teams can't follow GenAI blindly A fresh perspective on how data leaders can better understand and prepare for AI-driven analytics. Just a month ago Tableau announced the beta launch of Einstein Copilot for Tableau: a powerful AI assistance that uses natural language and generative AI to accelerate data exploration and analytics. A game-changer, but only... --- ### Data dance: Balancing freedom and governance In today’s digital world, data doesn’t just set the rhythm — it’s the heartbeat of businesses. But as with any dance, the challenge lies in syncing the structured steps with the improvisational moves. How can we find the perfect balance between flexibility and control, between agility and structure? The Modern Data Stack Every... --- ### Should we build this in Looker or dbt™? Every time I meet new data teams, this question comes up. The goal is clear: we're all after that sweet spot where every tool that connects to our warehouse has access to a consistent and complete data model. But achieving this without compromising our business analysts’ agility, inventive spirit and... --- ---