# 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 - [Solutions Engineer​](https://euno.ai/career/solutions-engineer/): Solutions Engineer Tel Aviv, Israel (Hybrid) Full-timeAt euno. ai, we're transforming metadata into an Automated context for AI that turns... - [Data model cleanup](https://euno.ai/use-cases/data-model-cleanup/): Automate data model cleanup with Euno to fix inconsistencies, eliminate duplicates, and enhance data reliability. - [Semantics SOT](https://euno.ai/use-cases/semantics-sot/): Unify enterprise data with Euno’s semantic source of truth to ensure consistent definitions, accuracy, and governance. - [Impact Analysis](https://euno.ai/use-cases/impact-analysis/): Use Euno for automated impact analysis to predict data change effects, reduce risks, and maintain data consistency. - [Pricing](https://euno.ai/pricing/): Explore Euno pricing plans designed to scale with your data needs. Affordable, transparent, and tailored for enterprises. - [Ask AI](https://euno.ai/product/ask-ai/): Discover your AI‑powered data expert: ask complex queries, uncover data mismatches, explore models, and automate metadata insights. - [Governance](https://euno.ai/product/governance/): Automate data governance by resolving conflicts, certifying dashboards, tracking PII, and cleaning unused assets across your stack. - [Metadata Catalog](https://euno.ai/product/metadata-catalog/): Unify and automate metadata management with Euno. Gain full visibility, context, and control over your data assets at enterprise scale. - [Lineage](https://euno.ai/product/lineage/): Track data flows with precision using Euno’s Lineage. Automate impact analysis and ensure trust across your entire data pipeline. - [Lead Software Engineer](https://euno.ai/career/lead-software-engineer/): Tel Aviv, Israel (Hybrid) Full-timeAt euno. ai, we’re building an Active Metadata Management Platform that turns governance into a value... - [home](https://euno.ai/): Euno stitches together lineage, code, utilization patterns, ownership and semantics 
to enable data management and governance automations. - [Career](https://euno.ai/career/): AI needs your help. We’re making enterprise data make sense. Join the team building the future of analytics. Open positions... - [integrations](https://euno.ai/use-cases/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! - [Use cases (copy)](https://euno.ai/use-cases-copy/): Track your analysts’ activities with all BI logic mapped. Identify relationships, dependencies, and usage patterns. - [Resource Center](https://euno.ai/resources/resource-center/): 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/): EUNO TERMS OF SERVICE Last Updated: November 10, 2025 These Euno Terms of Service (the "Agreement") apply to, and govern,... - [dbt](https://euno.ai/use-cases/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. - [Get started](https://euno.ai/get-started-nn/): Get started with Euno! Align, govern, and declutter your data assets for trusted analytics, AI-powered insights, and cost savings. --- ## Posts - [Data lineage in the age of AI: benefits, challenges and solutions](https://euno.ai/resources/data-lineage-in-the-age-of-ai/): Learn why data lineage is essential for AI, the key challenges teams face, and practical solutions to ensure trustworthy and compliant AI systems. - [Why AI fails and how metadata can save it](https://euno.ai/resources/why-ai-fails-and-how-metadata-can-save-it/): Learn why AI often fails and how metadata can fix it in this expert webinar on building context-rich, reliable AI systems. - [How metadata-first architecture secures AI analytics](https://euno.ai/resources/how-metadata-first-architecture-secures-ai-analytics/): Explore how metadata-first architecture secures AI analytics by ensuring clarity in data sources and metrics for accurate insights. - [Key takeaways from our Big Data LDN panel on governed data models](https://euno.ai/resources/key-takeaways-from-our-big-data-ldn-panel-on-governed-data-models/): Explore the Big Data LDN panel key takeaways on governed data models for improving self-serve analytics and AI trust. - [The age of context: how AI is reshaping metadata management](https://euno.ai/resources/the-age-of-context-how-ai-is-reshaping-metadata-management/): Explore how AI is reshaping metadata management to improve data accuracy and overall analytics performance in organizations. - [How ready is your organization for AI?](https://euno.ai/resources/how-ready-is-your-organization-for-ai/): Discover how prepared your organization truly is for AI, insights from data practitioners and a roadmap to readiness - [Security teams + data teams: the perfect match](https://euno.ai/resources/security-teams-data-teams-the-perfect-match/): Discover how security and data teams can join forces using metadata intelligence to reduce risk, clean up assets, and protect sensitive info. - [Snowflake Intelligence: everything you need to know](https://euno.ai/resources/snowflake-intelligence-everything-you-need-to-know/): Discover Snowflake Intelligence, your complete guide to features, benefits, and best practices. Everything you need to know, simplified! - [Musing on AI, data and everything in between](https://euno.ai/resources/musing-on-ai-data-and-everything-in-between/): Explore how AI amplifies the value of metadata. Why context, lineage, usage, and governance matter for smarter data decisions. - [AI tools for analytics engineers](https://euno.ai/resources/ai-tools-for-analytics-engineers/): Explore top AI tools empowering analytics engineers to streamline workflows, enhance data insights, and boost productivity. - [The missing piece in enterprise AI agents is context ](https://euno.ai/resources/the-missing-piece-in-enterprise-ai-agents-is-context/): Learn how adding business context to AI agents unlocks their full potential in enterprise applications and decision-making. - [You don't need a finished semantic layer to start with AI](https://euno.ai/resources/you-dont-need-a-finished-semantic-layer-to-start-with-ai/): Discover why waiting for a finished semantic layer isn't necessary to start gaining business value from AI and analytics. - [Data cost traps and how to avoid them](https://euno.ai/resources/modern-data-cost-reduction/): Cut data costs smartly in 2025: Avoid waste, fix costly queries, and use metadata to eliminate zombie data across your stack. - [How Bolt manages thousands of metrics with Euno](https://euno.ai/resources/how-bolt-manages-thousands-of-metrics-with-euno/): An inside look at how Bolt's data team manages thousands of metrics across Databricks, Looker, and dbt with Euno. - [How to write an RFP for enterprise data lineage tools](https://euno.ai/resources/how-to-write-an-rfp-for-enterprise-data-lineage-tools/): Discover how to write an RFP for enterprise data lineage tools that gets results. This template helps you align stakeholders,... - [Enterprise data lineage for modern data management](https://euno.ai/resources/enterprise-data-lineage-for-modern-data-management/): Track data across your enterprise with precision. Learn how enterprise data lineage improves governance, quality, and compliance. - [Should we build this in Tableau or dbt?](https://euno.ai/resources/should-we-build-this-in-tableau-or-dbt/): Learn when to choose Tableau or dbt for your data project. Explore use cases, strengths, and how to align with your team’s goals. - [Best 8 active metadata management tools ](https://euno.ai/resources/best-active-metadata-management-tools/): Discover top active metadata management tools for 2028. Compare features, benefits, and use cases to boost your data strategy. - [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 Active Metadata Tags](https://euno.ai/resources/announcing-metadata-enrichment-with-custom-properties/): Euno now lets you create active metadata tags 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 ### Solutions Engineer​ Solutions Engineer Tel Aviv, Israel (Hybrid) Full-timeAt euno. ai, we're transforming metadata into an Automated context for AI that turns governance into a value driver – ensuring that business units and AI agents access and build trusted data products aligned with the organization's guardrails. Backed by leading investors and advisors,... --- ### Data model cleanup Declutter & optimize your data environment Cust costs, reduce noise and make your data model easier to navigate for both humans and AI. Book a demo Declutter unused assets Euno flags assets with no recent activity, from warehouse tables that are never queried to BI dashboards with zero impressions, so... --- ### Semantics SOT A source of truth for your semantics You already have a semantic layer – but it’s distributed across dbt, BI tools, and legacy warehouse logic. Euno surfaces usage and trust signals, helping teams and AI find reliable metrics to enrich the semantic layer and generate trusted queries. Book a demo... --- ### Impact Analysis One click for full impact analysis Instantly see what might break when you make changes. Euno maps downstream dependencies down to the column-level, prioritizes them by usage, and surfaces the right people to notify. Book a demo Focus your effort where it matters Not all dependencies are equal. Euno highlights... --- ### Pricing Scale with your data model, not your team size Add unlimited users and AI agents. You only pay for the data assets you manage. STARTFor teams just getting startedUp to 10K resourcesUnlimited users, always Book a demo The essentials: Core platform access Column and table level lineage Impact analysis Metadata... --- ### Ask AI Your AI-powered
data expert Ask complex questions, apply standards, and power AI-agents with the real time context they need to understand the data. Book a demo Investigate discrepancies When numbers don't add up, just ask. Euno digs deep. It analyzes the full lineage, compares logic across pipelines, and shows exactly what’s... --- ### Governance Automate governance at scale Data governance shouldn't be a full-time job. Euno automates compliance monitoring, surfaces issues before they become problems, and helps keep your data environment clean. Book a demo Define standards once, track everywhere It takes minutes to configure active metadata tags in Euno and track any standard... --- ### Metadata Catalog The metadata catalog that finds the answers, fast No more digging. Euno gives you instant, trusted context to deliver reliable results every time. Book a demo Make sense of your data What used to take hours across lineage, code, and static catalogs now takes minutes. Euno helps you quickly... --- ### Lineage Lineage-based discovery Euno auto-maps column-level lineage from your warehouse to your BI and stitches it with usage, so you can search by dependencies, relationships, activity and more. Book a demo Figure out what breaks Making a change to your data model? 
Euno maps downstream column-level dependencies, prioritizes them by usage,... --- ### Lead Software Engineer Tel Aviv, Israel (Hybrid) Full-timeAt euno. ai, we’re building an Active Metadata Management Platform that turns governance into a value driver - ensuring that business units and AI agents access and build trusted data products aligned with the organization's guardrails. Backed by leading investors and advisors, we're at an exciting... --- ### home Metadata Intelligence Platform Automated Context for Data and AI Data teams use Euno for lineage, discovery and governance automations AI agents and business teams rely on Euno’s context to deliver trusted results at scale Book a demo . hero-container { position: relative; width: 100%; max-width: 100%; margin: 0 auto; }... --- ### Career AI needs your help. We’re making enterprise data make sense. Join the team building the future of analytics. Open positions Lead Software Engineer Tel Aviv, Israel (Hybrid) Full-time Apply Solutions Engineer Tel Aviv, Israel (Hybrid) Full-time Apply DevOps Engineer Tel Aviv, Israel (Hybrid) Full-time Apply Don’t see the right role?... --- ### integrations --- ### Get started See Euno in action️ Make AI for analytics work, now Deploy AI for analytics, at scale Build and maintain a metrics source of truth Certify your dashboards Reduce clutter and spend Auto label your data assets Book a 1:1 call We’ll only need 10 minutes to blow your mind. But... --- ### 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:... --- ### Resource Center The Eunoverse Your destination for ebooks, podcasts and articles on how AI gets context @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 EUNO TERMS OF SERVICE Last Updated: November 10, 2025 These Euno Terms of Service (the "Agreement") apply to, and govern, access to and use of the Services (defined below). CUSTOMER IS AGREEING TO THIS AGREEMENT BY CLICKING ON THE "I ACCEPT" (OR SIMILAR) BUTTON, BY CHECKING A CHECKBOX FOR THE... --- ### 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.... --- ### Get started See Euno in action️ Make AI for analytics work, now Deploy reliable AI at scale Build and maintain a metrics source of truth Certify your dashboards Auto label your data assets Reduce clutter and spend Book a 1:1 call We’ll only need 10 minutes to blow your mind. But let’s... --- --- ## Posts ### Data lineage in the age of AI: benefits, challenges and solutions AI has fundamentally changed how organizations think about data lineage. What used to be a technical tracking exercise (knowing where data came from and how it changed) has become mission-critical infrastructure for AI analytics success. Without clear visibility into data flows, AI analytics systems become black boxes built on uncertain... --- ### Why AI fails and how metadata can save it Self-serve and AI analytics promise faster data discovery and decision-making. But without clear context, they often lead to AI hallucinations and a loss of trust in the numbers. There’s a reason we haven’t seen true AI deployment for enterprise data, until now. By context, we mean the metadata already scattered... --- ### How metadata-first architecture secures AI analytics In 2025, every data team is under pressure to “turn on AI” for analytics. The tooling exists, the agents are ready, but most teams run into the same issue: cluttered environments, overlapping metrics, and dashboards that all say something slightly different. In these conditions, AI cannot tell which sources or... --- ### Key takeaways from our Big Data LDN panel on governed data models At this year’s Big Data LDN, the panel “Governed Data Models: The Secret Sauce AI Can’t Live Without” brought together some of the brightest minds in data and AI: Sarah Levy, Co-Founder & CEO of EunoJoe Reis, Bestselling author & speaker, Reis MegacorpShachar Meir, Data Advisor, ex-Meta Guy Fighel, Ex-SVP... --- ### The age of context: how AI is reshaping metadata management Why metadata catalogs are transforming in 2026Imagine an AI agent tasked with analyzing your Q4 revenue trends. It finds a dataset that seems relevant, but has no way to know it's actually outdated, contains test data, and that the key metric was redefined last month. The agent confidently delivers insights... --- ### How ready is your organization for AI? We asked dozens of data practitioners at dbt Labs’ Coalesce 25 to take our AI Reality Check survey. The goal? Understand how the people closest to data are actually approaching AI analytics. It wasn’t a massive study, yeah? More of a fun pulse check for anyone who visited our Euno... --- ### Security teams + data teams: the perfect match For years, we’ve treated security and data governance as separate domains. Security teams defend the perimeter. Data teams organize, curate, and enable analytics. Rarely do you picture them working hand in hand. But this partnership may be the most untapped opportunity in the modern data stack. Once you see it,... --- ### Snowflake Intelligence: everything you need to know In June 2025, Snowflake revolutionized enterprise data analytics by launching Snowflake Intelligence: an AI-powered conversational agent that transforms how businesses interact with their data. If you're wondering whether your organization should adopt this technology or how to maximize its value, this comprehensive guide covers everything you need to know. What... --- ### Musing on AI, data and everything in between I've spent some time in the last few months thinking about the rise of AI and what it means not just to the workforce as a whole, but specifically to the world of data and the various careers it encompasses. I foresee considerable changes coming. Not necessarily of the "AI... --- ### AI tools for analytics engineers Over the past few years, artificial intelligence has transformed how we interact with data. From writing SQL to building pipelines, debugging models to surfacing insights, AI tools are now embedded in nearly every layer of the modern data stack. But not all AI tools serve the same purpose, or the... --- ### The missing piece in enterprise AI agents is context The great shift in 2025: data warehouses target business usersSomething big is happening in the data world right now. Data warehouse platforms that once served only as technical infrastructure are now shifting to serve business users directly. AI agents are powering this transformation, promising to democratize data access across organizations.... --- ### You don't need a finished semantic layer to start with AI One thing that was clear at the recent Snowflake and Databricks summits: There’s no shortage of semantic layer companies out there. It makes sense, as many data teams are pursuing the goal of an aligned source of truth. As they should. But there's a catch. Semantic layers can't keep... --- ### Data cost traps and how to avoid them Data is no longer just a byproduct of business operations. It's the fuel driving digital transformation, AI initiatives, and competitive advantage. But as enterprise data strategies mature, so do their price tags. What began as a few cloud tables has evolved into complex multi-vendor architectures that are increasingly expensive to... --- ### How Bolt manages thousands of metrics with Euno 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... --- ### How to write an RFP for enterprise data lineage tools Selecting the right data lineage platform can make or break your data governance initiatives. But with vendors promising everything from "AI-powered insights" to "seamless integration," how do you cut through the noise and find a solution that actually works for your organization? That's where a well-crafted RFP comes in. Not... --- ### Enterprise data lineage for modern data management Data lineage has always been foundational for enterprise environments. It powers discovery, governance, optimization, and now, also AI readiness. You need lineage when you're cleaning up a cluttered warehouse and asking: Can I safely delete this table, or is something critical downstream? You need it when teams are stuck in... --- ### Should we build this in Tableau or dbt? A few weeks ago, I gave a talk at the Tableau Conference in San Diego, followed by a live webinar. This post captures everything I shared about a challenge data teams face every day: navigating the delicate balance between freedom and governance. Tableau or dbt? The answer isn’t one or... --- ### Best 8 active metadata management tools For organizations to use AI for their analytics needs, the role of metadata management has shifted from back-office hygiene to mission-critical infrastructure. Metadata is no longer just about cataloging data products, it’s about enabling AI to understand your data. Using metadata management you can declutter your data analytics, ensure that... --- ### 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 Active Metadata Tags 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 governance,... --- ### 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... --- ---