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Tom Sawyer Software to Exhibit at the OMG Technical Meeting

Visit Tom Sawyer Software at the OMG Technical Meeting for a Demonstration of Tom Sawyer Perspectives

Berkeley, CA, September 8, 2015—Tom Sawyer Software invites you to visit us at the OMG Technical Meeting to see the powerful graph visualization and analysis capabilities of Tom Sawyer Perspectives. Stop by to watch demonstrations including business process management, project management, and UML, SysML, and electrical one-line diagramming. This meeting will be held from September 21 to September 25, 2015 in Cambridge, Massachusetts.

Tom Sawyer Software assists systems integrators, and enterprises and governments in building and deploying sophisticated graph visualization applications. From datacenter and application management, to business process and circuit diagramming, to mission planning and systems analysis, Tom Sawyer Software offers sales and services to help organizations from a broad array of industries to visualize their complex data from multiple data sources.

The OMG Technical Meeting provides IT architects, business analysts, government experts, vendors and end-users a neutral forum to discuss, develop and adopt standards that enable software interoperability for a wide range of industries. Attend an OMG Technical Meeting to influence the direction of future standards work, hear from industry experts, network with your peers and be among the first to know what will be cutting edge tomorrow.

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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