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Tom Sawyer Software to Exhibit at SemTechBiz DC

Tom Sawyer Software to Demonstrate How to Advanced Visual Analysis Applications Enable the Discovery of Actionable Insights in Complex Data

Oakland, CA, November 21, 2011—Tom Sawyer Software, the premier provider of software for building high-performance data visualization and social network analysis applications, is exhibiting at SemTechBiz DC, to be held November 29 – December 1, 2011, in Washington DC. At SemTechBiz DC, Tom Sawyer Software will demonstrate how advanced visual analysis applications enable government and enterprise organizations to develop actionable insights from disparate data sources.

The Semantic Tech & Business DC Conference is the authoritative conference on semantic technology for business and technology professionals in enterprise IT, government, and finance. During the conference, Tom Sawyer Software will showcase Tom Sawyer Perspectives, Version 3.1 – graphics-based software for developing data-oriented visual analysis applications. These production-grade applications enable organizations to develop valuable insights based on relationships and patterns in their data from various data sources, including RDF data sources.

Visit Tom Sawyer Software's booth at the Kellogg Conference Hotel to see how advanced visual analysis applications can enable the discovery of key insights in complex data. These insights enable organizations to make more effective decisions when addressing emerging opportunities and threats.

About Tom Sawyer Software

Tom Sawyer Software is the leading provider of software and services that enable organizations to build highly scalable and flexible graph and data visualization and analysis applications. These applications are used to discover hidden patterns, complex relationships, and key trends in large and diverse datasets. Tom Sawyer Software serves clients with needs in link analysis; network topology; architectures and models; schematics and maps; and dependencies, flows, and processes. We help clients federate and integrate their data from multiple sources and build the graph and data visualization applications that are critical to analyzing and gaining insight into their data.

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