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 ...

Metadata is increasingly driving semantic data modeling, said Suresh Nair, New York-based vice president and chief architect, financial services, at IT processing services company Mphasis, who was ...

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 ...

The demand for data continues to grow from inside and outside every organization and from machines now, too. However, having a surfeit of data is not enough. Organizations must solve the complex ...