Data teams and business teams can now build high-trust, actionable datasets – with or without code
Census, the leading data activation and reverse ETL platform, announced its expansion into data transformation and governance tooling. The new approach, dubbed the Universal Data Platform (UDP), aims to solve the data collaboration challenges that prevent business teams and data teams from working effectively.
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“Census aims to bridge this gap by creating a collaborative platform that empowers everyone to build reliable, high-quality data models, no matter their technical expertise.”
“Data teams are working nonstop on ticket queues from every stakeholder, and business teams are stuck without the tech skills or data they need,” said Boris Jabes, CEO and Co-Founder of Census. “Census aims to bridge this gap by creating a collaborative platform that empowers everyone to build reliable, high-quality data models, no matter their technical expertise.”
The company further outlined the three product pillars for developing the collaboration layer for the modern data stack:
- Activation: Expand our customers’ activation capabilities to all data consumers by supporting secure, scalable data sharing with other organizations and AI agents. Continue to invest in real-time capabilities to ensure the best data is always available at any latency.
- Transformation: Build a new surface for data modeling that will allow business and data teams to operate on the same semantic models. Eliminate wasted work by bringing business teams in on the ground floor of data requests and providing low to no code data transformation tools.
- Governance: Increase trust in quality data and promote trust across teams. Provide a workspace for simplifying compliance with privacy regulation, verifying the correctness of models, and tracking versions.
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“Census is committed to addressing the root issues adding complexity to data work,” said Boris Jabes. “We are building a place where all stakeholders can agree that the right models are built off of the right data, and that the data is accessible anywhere, at exactly the moment it’s needed.”
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