The concept is based on two main ideas. Firstly, that data is not just a set of numbers but a web of interrelated factors that influence each other. Secondly, as Gurjeet Singh, co-founder of machine intelligence company, Ayasdi [now Sensa] puts it: “Data has shape, and shape has meaning.”
"Data has shape, and shape has meaning."
GURJEET SINGH
GO FIGURE
The game of Go is a complex and strategic game that requires players to spot and exploit visual patterns on the board. Just as mastering the art of spotting visual patterns in Go can lead to more successful gameplay, in a professional setting, being able to see patterns that give context to your data can help you discern the sequence of moves you need to make.
But unlike Go, where the difficulty of spotting these patterns is all part of the appeal, the objective within decision support platforms should be to create visualisations that are more intuitive and reduce your 'time-to-insight' ratio. This requires a process of sensemaking and framing that considers the outcomes you're seeking, the data that's most useful and the visual affordances that best represent the mental models people apply to the situation.
“What is the situation now, and in the future, and what can I do to interact with that situation to achieve the outcomes that I want?”
LORIEN PRATT
DISRUPTION RADAR
In this example, part of a patent intelligence platform, a Field of Play visualisation is used to reveal competitor based on quantifiable many-to-one relationships between a corpus of patent filings.