ER/Studio, an enterprise data architecture and modeling platform, is announcing the availability of ER/Studio 21.1—introducing new semantic generation capabilities in Data Architect that transform Enterprise Logical Data Models into reusable semantic assets for AI, analytics, and data governance.
According to the company, ER/Studio 21.1 enables organizations to define business concepts, relationships, rules, and terminology within enterprise data models and carry that governed meaning into technologies including Microsoft Power BI, Microsoft Purview, Collibra, dbt, and open semantic ecosystems.
The result is a semantic backbone that can help reduce conflicting definitions and give analytics and AI applications more consistent business context, ER/Studio said.
"AI is making consistent business meaning more important than ever," said Jamie Knowles, product director of ER/Studio. "Organizations have spent years capturing critical business knowledge in their enterprise data models, but much of that context has traditionally remained inside the modeling environment. ER/Studio 21.1 makes that knowledge reusable, allowing organizations to carry governed business meaning into analytics, governance and AI instead of recreating it independently in every platform."
New features and capabilities in ER/Studio 21.1include:
Semantic Generator: Converts Enterprise Logical Data Models into machine-readable semantic assets, including Resource Description Framework (RDF), SHACL constraints and SKOS mappings, for governance platforms, knowledge graphs, semantic technologies and AI applications.
Microsoft Power BI Semantic Layer Generator: Generates Tabular Model Definition Language (TMDL) structures and Power BI Project (PBIP) files from analytics-ready physical star schemas while carrying business names, descriptions and metadata into Power BI.
Open Semantic Interchange Generator (Beta): Creates OSI semantic definitions from ER/Studio models to support reusable business meaning across analytics technologies.
dbt Semantic Layer Generator (Beta): Generates dbt Semantic Layer artifacts from ER/Studio physical data models while preserving connections to business definitions inherited from Enterprise Logical Data Models.
Together, these capabilities support a central principle behind ER/Studio 21.1: define business meaning once and reuse it across the technologies that depend on it. By extending enterprise model metadata into analytics, governance, and AI environments, organizations can reduce duplicated semantic modeling and help limit semantic drift across platforms, the vendor said.
ER/Studio 21.1 also adds support for Microsoft SQL Server 2025, IBM Db2 z/OS 13 and IBM Db2 LUW 12, helping architecture teams keep models aligned with current enterprise database environments.
"The challenge for enterprises isn't a lack of data. It's making sure that data means the same thing everywhere it is used," said Max Hunsicker, general manager of ER/Studio. "ER/Studio 21.1 extends the value of enterprise data modeling beyond database design by making established business meaning reusable across analytics, governance and AI. That gives organizations a stronger foundation for scaling these initiatives without continually recreating the same context."
ER/Studio 21.1 is available now.
For more information about this news, visit https://erstudio.com.