On day in late March I got on a plane from Toronto (where I attended Annual Fund benchmarking meetings hosted by Target Analytics) to Las Vegas (for the Sungard Higher Education Summit), and picked up the Toronto Globe & Mail. I scanned a section that offered some ephemera, including the startling news that my fellow countryman William Shatner had turned 81. Once I got over that shock, I read the Globe’s “Thought du jour,” a quote from Ralph Waldo Emerson.
Because I’m an admirer of Emerson, and because I figured I could appropriate his quote for my own selfish purposes, I scribbled it down:
“The world can never be learned by learning all its details.”
Emerson did not live in the age of big data. But in a way, the world he experienced — the world we all experience through our senses — IS big data. We don’t perceive our surroundings directly, but only through our brain’s interpretations of sense impressions. We navigate the world via mental models of our own creation. These models leave out nearly everything. They are not reality, no more than a map of a city is faithful to the reality of the city, or than our memory of an event is faithful to the details of the event (which would overwhelm us every time it came to mind).
In our work with data, we measure things (or their proxies) in order to get a handle on them and in order to gain insight. We lose most of the detail in the process, but we need to in order to learn something. We build models based on general patterns. So as George E.P. Box said: All models are wrong, but some are useful.