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.
