By promoting data stewardship and ownership by domain experts, using a common set of tools and semantic definitions, your entire organization will be empowered to create data products at scale.

Without a universal semantic layer, it is extremely challenging to analyze a large volume of financial data or to model complex KPIs. By creating a single source of truth, a universal semantic layer ...

Although a universal semantic layer can’t solve all business problems, it can help organizations use complete, consistent data insights to navigate uncertainty.

A semantic layer abstracts away the complexity of underlying raw data using a business model, allowing any data consumer to access quantitative metrics, attributes, features, predictions, business ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

BOSTON, April 27, 2023 — AtScale, a leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced new capabilities within its semantic layer ...

Cube, a startup offering a platform for companies to build 'semantic layers' for data, has raised new cash in an all-equity funding round.

The semantic layer is still an emerging technology, but it will clearly play an important role in the evolution of the modern data stack.

Understanding the Semantic Layer: Translating Complexity into Clarity Think of a semantic layer as the interpreter for your fitness watch's data.

AtScale introduces new capabilities within its semantic layer platform to support code-first data modelers.