“If you leave an excited data scientist on his own to solve a problem, he’s going to solve his own problem – which is usually parking his car, or finding a bar to drink at. The trick that we worked on was actually less about data and more about translation, about finding a way for data scientists to speak the language of the people who were trying to solve the big problems… the biggest [challenge] is actually the framing of the problem: really finding the question. As any good data scientist will tell you, it’s not so much about the data, it’s the question you start with”–Jack Porway, DataKind

More here