Right now, in most companies, there is a crisis of Business Intelligence dashboards. For good reasons, BI practitioners use the dashboard as way to deliver data and analytics to pretty much everyone.

The development of database technology is one of the defining achievements of the information technology era. It not only has been the key to dramatically improved record-keeping and business process ...

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 ...

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 ...

A growing number of businesses are embracing data models — abstract models that organize elements of data and standardize how they relate to one another. But as the data analytics and AI boom drives ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

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 ...

Semantic reasoning tools for databases aim to close that gap. They introduce an abstraction layer that understands business ...