The company works with a number of data warehouse and business intelligence tools, including Snowflake, Databricks, Amazon, and Redshift. Euno's approach to data model governance involves capturing any new business logic and coding it automatically in the data built tool (dbt), and adding new logic to a central data model. This approach is seen as an essential component for building the foundation for self-serve analytics tools to work reliably.
Key takeaways:
- Euno, a startup focused on managing data pipelines, has emerged from stealth with a product platform and $6.25 million in seed funding.
- The company aims to address the challenge of managing business logic at scale, which is crucial for enabling an accurate data model and data-driven operations.
- Euno's solution maps business logic across platforms, automates the shift of logic from BI tools into the data layer, and works with a variety of data warehouse and BI tools.
- The startup also introduces a business logic catalog, a lineage view of business logic, and usage scoring for every metric or table in the data model, aiming to build a foundation for self-serve AI-driven analytics tools.