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 ...

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 ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

Together with Snowflake, Sigma and other industry leaders are driving a new open standard for semantic data, ensuring organizations can define metrics once, govern centrally, and analyze everywhere ...

Semantic data helps teams understand what their information represents. It gives data a clear meaning so people know how ...