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Tom Sawyer Software Releases Updated .NET Analysis Software

Tom Sawyer Analysis, Version 9.2, .NET Edition Introduces 64-Bit Support and Searchable Documentation

Oakland, CA, June 3, 2011 — Tom Sawyer Software, the premier provider of software for building high-performance data visualization and social network analysis applications, announces the release of Tom Sawyer Analysis, Version 9.2, .NET Edition.

With major new features and refinements, this release aligns with the company's objective of providing visualization technology in the form that customers need it. This release of Tom Sawyer Analysis, Version 9.2, .NET Edition, is part of the company's ongoing strategy of supporting major software platforms.

Tom Sawyer Analysis enables organizations to build professional applications with analysis capabilities to enhance decision-making. With Tom Sawyer Analysis, developers can build powerful analysis applications to analyze complex data relationships.

New Benefits

Tom Sawyer Analysis, Version 9.2, .NET Edition, adds support for 64-bit computers that improves application performance and scalability. This release also features improvements to algorithm performance. Additionally, all documentation is now available in HTML format and is dynamically searchable.

New Features

Tom Sawyer Analysis, Version 9.2, .NET Edition offers new and enhanced features.

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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