Data is the basic building block of analytical exploration. It tells a story—in an infinite amount of ways. But how do we read the story? How do we choose what chapters to focus on and where to look for clues?

For e-discovery professionals trying to take a massive heap of data and find the 25 documents that are important, this can be an especially painful challenge. The ESI in a matter come in so many different forms and are related in any number of ways, seeing meaning can be near impossible with existing data visualization methods.

The Problem With Basic Data Visualization

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