Information Analytics

Intervise Information Analytics utilizes Semantic Web technology to analyze and visualize undiscovered relationships between multiple data sources regardless of the platform, language and/or the technology used to create it. Intervise provides this unprecedented offering by combining advanced technologies with Feast™, a unique Semantic-based information management tool for data analysis which provides support for visualization, transformation, data source integration and asynchronous operations and is ontology agnostic.

Developed internally, the Intervise Semantic Web Implementation Methodology (SWIM) has been endorsed by the Massachusetts Institute of Technology Research Establishment (MITRE) and the National Institute of Standards and Technology (NIST).

Specifically, Intervise Information Analytics provides:

Relationship Visualization
Intervise provides the capability to mine data and allow it to be visualized in multiple and customizable ways in order to highlight previously undiscovered relationships between multiple data sets.

Interoperability
Intervise delivers accelerated information retrieval capable of pulling data from multiple and varied systems, platforms, databases, web applications and documents regardless of the language and method by which it was originally created.

Information Analytics Suite
Intervise combines the Relationship Visualization and Interoperability tools to provide unprecedented capabilities in data search, extraction, visualization, relationship visualization, documentation and interoperability.

The exceptional benefits of Semantic Web technology include:

Communication between systems is simpler.
Data can be extracted and integrated across organizational boundaries and varied data sets.
Systems are significantly less likely to need expensive software changes.
Changing data requirements are easily managed through pluggable ontologies or vocabularies.
Previously undiscovered relationships between data can be visualized.

Education
Join Scott Streit, Intervise Chief Technology Officer, as he discusses topics in Semantic Web, Cloud Computing and Relational Databases. Scott has taught many of these courses at major Universities for Master's and Ph.D. credit. Click here for more information.

Learn More:
Semantic Web Overview
White Paper: Semantic Web
Semantic Web Implementation Methodology (SWIM)
Why Intervise?

Case Studies
Super Report: EPA Common Framework
Strategic Mobility 21: High Visibility