In today’s data-driven, dynamic, and fast-paced world, it is more important than ever for organizations to have the tools to cut through the sea of information and better leverage their data assets. In response to this reality, there has been an increasing number of applications to help organizations get the answers they need from big data at the speed of thought.
To address this growing demand and to provide organizations with best-of-breed data visualization and analysis software, we here at Tom Sawyer Software recently released Tom Sawyer Perspectives, Version 3.0. Tom Sawyer Perspectives, Version 3.0, is focused not only on enabling organizations to quickly build more advanced visual data analysis applications without sacrificing quality, but also providing end-users a visually compelling experience to analyze larger, more complex, and disparate data sets faster and more intuitively.
We’ve done a lot of work both above and under the hood, introducing game-changing technology that provides Tom Sawyer Perspectives the foundational architecture for agile expansion in future releases. This release combines the power of data visualization and analytics to enable organizations to gain faster insights into their large and complex data sets.
This release includes the first of a series of innovative features to help organizations go beyond pure data visualization. New features include the Resource Description Framework (RDF) data integrator and Social Network Analysis (SNA) capabilities.
See a short demonstration of the new RDF data integrator and SNA capabilities in action:
The RDF data integrator feature is targeted at organizations that are building visual data analysis applications using RDF data sources as part of their semantic web initiatives or as part of their composite data suite for social network analysis. Although Tom Sawyer Perspectives, Version 3.0, was designed to support all RDF data sources, Tom Sawyer Software developed this product with Oracle Spatial and Semantic Technologies team so that it is tuned to work efficiently with Oracle Database Semantic Technology.
The SNA feature is designed to enable organizations to tightly integrate sophisticated centrality analysis capabilities into their visual data analysis applications.