Euno meets you
wherever you are
on the dbt™ journey
From legacy to dbt™
You’ve decided to migrate your data model to dbt™, but you’re stuck with tons of legacy logic buried in Looker or Tableau. Investing into replatforming while trying to support these legacy stacks leads to parallel workloads and a faster burn rate.
Euno maps all your data model components, scores them based on usage, and auto-generates dbt™ code for faster and more efficient migration. With Euno, you can resolve those legacy challenges, free up your teams, and switch to a central (and scalable) data model in dbt™.
Let analysts be analysts
Your business teams flourish with BI tools and self-serve features. But metrics clutter persists, duplicates linger, and logic remains isolated. Attempts to gain governance over the data model through analytics engineering results in prolonged cycles and collaboration challenges.
With Euno, analysts are empowered to leverage their expertise in SQL and BI tools for swift prototyping. As they develop new logic, it’s seamlessly detected, codified into the shared data model in dbt™, and synchronized back. This guarantees centralized modeling governance without compromising analyst autonomy.
dbt™ documentation for all
Your goal is to consolidate metadata, establishing your dbt™ documentation as the definitive source for descriptions, lineage, and calculations. Data catalogs were tried, but the reliance on manual synchronization and tedious upkeep made them irrelevant. Given the scattered metadata, users end up messaging you on Slack for metric calculations.
With Euno, data stewards effortlessly implement metadata changes while central data teams oversee each adjustment through a structured dbt-PR process. This guarantees meticulous control over metadata with minimal documentation hurdles.
Source of truth for metrics in dbt™
You’ve already embraced dbt™ for data transformations. Your focus now shifts to establishing a centralized metrics repository for uniform logic sharing.
Euno enables data users to dynamically query dbt-metrics within their chosen BI tools, automatically translating semantic definitions into SQL for consistent calculations. On top of that, data teams can use Euno to promote measures and metrics defined in BI tools by automatically codifying them in dbt™/MetricFlow, adding them to the centrally governed metrics layer.
