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Tom Sawyer Software to Exhibit at GraphConnect in London

Tom Sawyer Software Joins Leading Graph Companies at GraphConnect Europe, 2016

Berkeley, CA, April 8, 2016—The GraphConnect conference features hundreds of leading graph experts from startups to Global 2000 companies, and focuses on the world of graph databases and graph visualization applications. The event is scheduled to take place on April 26, 2016 at the Queen Elizabeth II Centre in London, England. Leading the way in graph visualization, Tom Sawyer Software will once again be the GraphConnect Gold Sponsor.

At this event, Emel Dogrusoz, the Principal Technical Product Manager at Tom Sawyer Software, will explore some of the customer viewpoints at work in engineering, networking, intelligence, and finance that have helped to influence how we use Tom Sawyer Perspectives to help develop valuable graph and data visualization solutions for our customers.

We invite you to stop by Tom Sawyer Software's exhibition table for a demonstration of the powerful capabilities of the latest version of Tom Sawyer Perspectives, and to experience what data visualization solutions can do for your business.

Use code PRESENTER20 to save 30% off the price of registration, and don't forget to continue the conversation by following us on Twitter @TSawyerSoftware.

To learn more about GraphConnect, and to register for this event, click here.

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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