Regardless of whether you call it "business intelligence", "big data", "analytics" or just plain old "math", we have many tried and true techniques for dealing with uncertainty. But ambiguity is a separate matter and, at least in my experience, is the hardest part of creating value from data.
During this talk, I will illustrate how the design process can be used to solve ambiguous problems by drawing on projects we've done at Datascope.