Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

ClearStory makes use of semantic models to understand the contents of each data source and of domain specific languages and APIs to allow tremendous flexibility in both transforming data and in ...

Industry-specific semantic models are readily available for use with any BI tool, offering immense value to companies seeking to leverage data modeling in their operations. Examples of these pre-built ...

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...

In today's intricate data landscape, business users often grapple with the technical complexities of data management. Datavid's semantic data platform resolves this challenge by utilising a semantic ...

Data and data standards in semantic web To obtain a thorough comprehension of the semantic web technology, the same information provided in the earlier XML example (Fig. 1) has been described in ...

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 ...

Element Analytics Inc., maker of a semantic data platform for use in industrial settings, today announced the availability of its Unify data management platform on Microsoft Corp.’s Azure ...

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 ...