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Israeli Startup Euno Offers ‘Dynamic Governance’ Solutions

Euno

Euno CEO Sarah Levy (LinkedIn)

Euno is a new Israeli startup that offers a data model governance platform the company says is a “dynamic governance solution for data teams at large and scale-up.” Euno just came out of stealth with a $6.25 million raise led by 10D.

Data governance is an ongoing process that needs to be adapted to the specific needs of an organization. As your data landscape evolves, so too should your data governance practices.

Data governance is essentially a set of rules and practices that ensure your organization’s data is accurate, secure, usable, and available throughout its lifecycle. In other words, it’s about taking control of your data to maximize its value.

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It sets policies and standards, which involves defining how data should be collected, stored, managed, and disposed of. It also includes outlining data security measures and who has access to what data. Data governance also assigns ownership of specific data sets to individuals or teams. These data owners are then responsible for ensuring the data’s quality and adherence to the defined standards.

Data governance processes also ensure that data is accurate, consistent, and up-to-date across the organization. This helps to avoid errors and inconsistencies that can lead to bad decision-making. .And data governance plays a vital role in protecting sensitive data from unauthorized access, breaches, and misuse. It ensures compliance with relevant data privacy regulations.

By ensuring data quality and consistency, data governance provides a foundation for reliable data analysis and insights. Data governance helps mitigate risks associated with data breaches, regulatory non-compliance, and bad decision-making based on inaccurate data.

Founded in 2023 by Sarah Levy and Eyal Firstenberg, Euno call/s itself a frictionless data model governance platform, offering a “novel approach to dynamic data modeling that harmoniously balances the freedom of data analysts with rigorous data model consistency.” Designed for data teams at large and scale-up organizations, the platform “fosters a collaborative environment where business analysts can innovate freely, and data teams can efficiently transform new business logic into data model elements that are both consistent and reusable across the organization.”

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.”

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