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 ...

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 ...

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

While it takes some work, the consistency and accuracy brought on by a universal semantic layer with collaborative, visual data modeling can pay off in better strategic decisions and substantially ...

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 ...

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

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

Over the past few years, major enterprises have shown interest in combining semantic web technology with big data for added value.

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