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There is a lot of data out there. There is also a lot of discussion about how large data sets hold the promise of business growth, large scale innovation, and, perhaps most importantly, insight. Herein lies the problem: People neither act on, nor infer insight from, data directly. In fact, unless you’re a machine, data on its own is useless. Someone needs to translate the data into information.
Businesses tend to focus on converting data, rather than translating it, into charts and graphs. While these sorts of dashboards look nicer than spreadsheets they are still only visual representations of data. The user is left with the unenviable task of trying to translate it into a form that is both meaningful and actionable.
My presentation will demonstrate how applying the design process to the problem of large data sets can bridge the gap between the technical challenge of data collection and the human challenge of data interpretation.