Tom Sawyer Software faces organizational challenges common to businesses like ours. We are a globally distributed company with large, diverse teams managing complex projects with tight deadlines and competing priorities. Sprinkle in time zone differences and communication challenges, and even the simplest of projects becomes difficult to manage. Using the power of Tom Sawyer Perspectives and Business Process Model and Notation (BPMN) 2.0 developed by the Object Management Group (OMG), we developed Tom Sawyer Business Process and began our journey to operational efficiency.
The huge amount of data being produced makes it difficult to separate what’s important from noise. Once you’ve created a graph visualization of your big data, how do you know what to look for? To focus on what’s important, we use four graph analysis and design techniques to reveal connections in the data and patterns in the structure.
“Successful networks are designed—they don’t just happen. Knowing a network’s essential design issues—and how to make and when to change design choices—is a crucial part of the practice of building effective social-impact networks.”
– Connecting to Change the World: Harnessing the Power of Networks for Social Impact by Peter Plastrik, Madeleine Taylor, and John Cleveland
Swimlanes organize graph visualizations in a simple, user-friendly manner. Typically, process flows use swimlane diagrams to group components into individual categories, or lanes. Each node represents a task or activity and the lanes organize them by role, function, or department. However, because swimlanes are usually defined along a single axis, they tend to be used as alternatives to other graphical cues like text, coloring, or icons. In this scenario, swimlanes only add one additional dimension of data. What if you could show more?
It’s a tale as old as time: you organize a massive database of facts and figures only to discover that the opening visualization is…a giant hairball! Sure, you can zoom in to 800% and slowly start to see connections, but the time that would take is too exhausting to consider.
Fear not! Our new Bundle Layout, now available in Tom Sawyer Perspectives 9.1.0, makes it possible to untangle, demystify, and succinctly visualize complex datasets.
As the amount of data available to law enforcement agencies increases, so does the pressure for them to use that data in efficient and predictive ways to thwart crime. Centrality analysis helps agencies ask specific questions of their big data and get answers quickly.
We’ve applied our graph analytics and visualization expertise to tough problems in law enforcement, fraud detection, cybersecurity, telecommunications, and more. Of the 30+ data analysis algorithms available in Tom Sawyer Perspectives, there are four centrality algorithms that answer questions like: