Start automated governance at scale 

Data governance shouldn’t be a full-time job. Euno automates compliance with standards, surfaces issues before they become problems, and helps keep your data environment clean.
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Dashboard showing certified dashboards at 1,934 of 4,786, documented metrics at 1,170 of 2,786 with 42% completion, and labels for AI-Ready, Certified, Logged, and Highly Used.

Auto classify your data assets

It takes minutes to configure active metadata tags in Euno and track any standard your team sets.

Whether it’s dashboard certification or naming conventions. Euno continuously monitors all your data assets, and alerts the right people when something’s off or changes.

Surface conflicting definitions

Multiple “New business” metrics? Different calculations for the same KPI? Euno automatically detects conflicting definitions, maps their usage, and connects you with the relevant owners to resolve conflicts fast.

Track large-scale programs effortlessly

Euno provides the visibility and insights you need to manage complex programs with confidence.
Declutter and cut costs
Keep your environment clean and efficient by removing stale data products and deprecating unused resources – such as materialized models and refresh jobs, cutting costs along the way.
Certify your dashboards
Define rules based on lineage, ownership, production tags, SQL logic, and more. Identify highly used data products that violate the rules to enforce governance and get guiding steps to re-establish certification.
Manage a governed semantic model
Establish and maintain a scalable, consistent semantic model based on metrics defined in analytics tools. Identify and prioritize key terms, resolve conflicting definitions, create proposals, and more.
OPTIMIZATION PROGRAM
Declutter and cut costs​
Keep your environment clean and efficient by removing stale data products and deprecating unused resources – such as materialized models and refresh jobs, cutting costs along the way.
Line chart showing a decreasing cost trend of unused materialized DBT models from 24K in July 2024 to about 21K in January 2025.
Bar chart showing Tableau dashboards by usage: Unused 3,381 with +32 increase, Low 2,421 with -230 decrease, Medium 936 with -230 decrease, and High 540 with -230 decrease.Semi-circle chart showing extracted data sources cost by usage: $54,325 not used, $16,131 high, $11,939 medium, and $10,397 low.
CERTIFICATION PROGRAM​
Certify your dashboards​
Define rules based on lineage, ownership, production tags, SQL logic, and more. Identify highly used data products that violate the rules to enforce governance and get guiding steps to re-establish certification.
Table listing top used dashboards with columns for name, views, certification status, owner initials, queries, and users.
Dashboard showing 64% of dashboards are highly used certified with 1,783 out of 2,786 dashboards, and a recent increase of 12.
METRICS SOT PROGRAM​
Manage a governed semantic model​
Establish and maintain a scalable, consistent semantic model based on metrics defined in analytics tools. Identify and prioritize key terms, resolve conflicting definitions, create proposals, and more.
List of top used Tableau calculated fields showing names, categories, potential conflicts, impressions, and user counts.
Metrics breakdown bar chart comparing 417 dbt metrics with a positive change of 32 to 1,217 Tableau metrics with a negative change of 71.

Keep sensitive data under control

PII compliance isn’t optional. Euno propagates sensitive data tags from raw tables through every transformation, all the way to BI.
It makes sure sensitive fields are either masked or clearly tagged, so nothing slips through.
Chat interface showing a query about dashboards using PII-tagged columns with a response listing the 5 most-used dashboards and their impression counts in the last 30 days, including Customer Journey Analytics, User Behavior Insights, Marketing Attribution Dashboard, Customer Support Analytics, and Sales Performance Tracker, plus a prompt to view more or see specific PII columns.

Ready to automate data governance?

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