Sigma Joins Snowflake And Industry Leaders To Spearhead The Open Semantic Interchange

Organizations have long struggled with inconsistent definitions of metrics and logic across tools. “Revenue” might mean one thing in a BI dashboard, another in a notebook, and something else in a machine learning model. These inconsistencies slow teams down, diminish trust in data, and make it harder to adopt AI with confidence.

This isn’t a new problem, but it’s become more pressing as data stacks grow more complex and organizations look to operationalize AI. Business leaders want a single source of truth. Data teams want to avoid duplicating metric logic across tools. And everyone wants to know that when they use a number, it means the same thing everywhere.

Everyone wants to know that when they use a number, it means the same thing everywhere.

That’s why we’re excited to be among Snowflake’s partners launching the Open Semantic Interchange (OSI), an open source initiative that standardizes how metrics and business logic are defined, shared, and understood across the ecosystem.

Why the Open Semantic Interchange matters

When metric definitions are scattered across tools, things break down fast. Every change forces data teams to update definitions in multiple places—a tedious, error-prone process that slows everyone down. This fragmentation causes duplication, conflicting definitions, and delays in adopting new technologies. 

The Open Semantic Interchange (OSI) solves this by introducing a vendor-neutral standard for semantic data. With OSI, metrics are defined once, governed centrally, and understood everywhere, from dashboards to analyses to AI models. The result: less rework, fewer conflicting reports, and faster adoption of new tools. 

Why Sigma is all in on OSI

At Sigma, we’ve always believed that BI should be intuitive, collaborative, and trustworthy. But no matter how easy it is to explore and share data, teams hit a wall if the underlying definitions aren’t consistent. Supporting OSI is a natural extension of our mission. By adopting an open standard, Sigma lets customers bring their existing metric definitions directly into our platform without rework. 

With OSI, enterprises can:

• Define once, use everywhere: Establish metrics and definitions in a standard format every tool understands, including Sigma.
• Ensure governance and consistency: Centrally manage definitions to eliminate “multiple versions of the truth.”
• Unlock interoperability: Move definitions seamlessly across dashboards, notebooks, ML models, and AI apps.
• Fuel AI innovation: Provide AI tools with consistent semantic context for higher-quality insights and automation.

This not only creates technical consistency, it builds confidence in the decisions organizations make every day. When definitions are aligned, teams can collaborate more effectively and move faster with less friction.

Building the future of data together

The Open Semantic Interchange is a major step toward making data and AI truly interoperable. Just as SQL became the universal language for querying data, OSI aims to be the shared foundation for defining and exchanging business logic. That means organizations get the freedom to choose the right tools with confidence, and their metrics stay consistent everywhere.

As a launch partner with Snowflake, Sigma is committed to shaping a transparent, community-driven standard for semantic model sharing. OSI is more than a technical specification—it’s about building trust, reducing friction, and empowering organizations to innovate with confidence, putting their data and AI to work in new ways.

Learn more in Snowflake’s blog post on the Open Semantic Interchange.