SUNNYVALE — Euno, a data startup, has raised $6.25 million in seed funding and emerged from stealth to launch a dynamic governance solution for data teams at large and scale-up organizations. Euno’s “soft governance” approach empowers business analysts to innovate freely and leverage their expertise in structured query language (SQL) and business intelligence (BI) tools for rapid delivery of data products, while also optimizing centralized modeling governance to drive consistency across an organization.
Business analysts are essential for answering business questions and enabling data-driven decisions. However, too much freedom can lead to data chaos, including inconsistent metrics, duplicates, and siloed logic. As organizations scale, central data teams – which are traditionally in charge of data governance – struggle to balance the autonomy of business analysts with the governance of consistent data models.
“There is constant tension between enabling an analysts’ ability to explore with the need of data teams for governed and consistent data models,” said Mark Nelson, Venture Partner at Madrona, and former CEO and President at Tableau. “Euno offers the best of both worlds by enabling analysts to work in the tools they love, while promoting artifacts that analysts are already doing to a governed data layer.”
The integration of AI-driven analytics and advanced AI features within widely used BI tools underscores the heightened importance of data model governance even more. The ever-evolving business logic, shaped by business analysts, must be carefully coded into the data layer through swiftly governed processes. This is essential not only to maintain the consistency of data models, which is pivotal for training AI, but also to bolster the production of trustworthy insights driven by AI.
Euno serves as a pivotal tool in streamlining collaboration between central data teams and business analysts. It detects newly modeled business logic within integrated BI applications like Looker and Tableau, and guides users through the process of integrating these logical components into the shared data model (i.e. “shift left”). This includes identifying new logic, automatically generating code to capture this logic at the data layer, and synchronizing changes back to BI applications. This ensures an aligned and central source of truth for an organization’s business logic.
“Euno reduces toil with automation and unlocks business logic for data analysts and data engineers, which is a win for organizations,” said Tatsiana Maskalevich, Director of Data Science and Engineering at Netflix. “Not only is Euno empowering the data engineering team, but it’s also addressing the critical aspect of cross-functional collaboration with business analysts.”
At the core of Euno’s technology is a business logic discovery tool that equips data teams with automated business logic mapping across platforms. This tool offers a unified catalog and an end-to-end lineage view of business logic for efficient exploration and management of data model calculations, descriptions, and usage. Euno integrates with dbt™️ and also optimizes the implementation and expansion of dbt, which is designed to meet organizations at any stage of their dbt journey – whether they have fully transitioned to dbt or are still managing legacy logic. Euno represents a paradigm shift, aligning business analyst insights with the methodical expertise of data teams. This approach leverages the power of collaboration at scale, setting a dbt-first standard for data model governance.
“Based on conversations with more than 250 data teams, we discovered they struggle to foster a self-service data analytics culture as they scale. What surprised us was the root cause – data model governance solutions haven’t caught up with the modern data stack. Organizations deal with collaboration bottlenecks, data inconsistencies, and soaring costs,” said Sarah Levy, co-founder and CEO at Euno. “Eager to solve this problem, we’ve assembled a world-class team of engineering and data analytics professionals. Our mission is clear – to untangle the toughest knots for data teams and give peace of mind to organizations with their data governance. No matter how fast the company scales.”
