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Monday, May 24, 2021 Is big data always needed in the wine industry? We all know that there are plenty of things that a person can do easily but machines find more challenging. For example, when the police are directing traffic they often pick gaps between groups of cars to be the stop points, whereas arranging this behavior using traffic lights is much more complicated. We have all driven along a main road and been stopped at every single [expletive deleted] light, haven t we? (If you haven t, then just you wait . your time will come.) Well the same thing applies when looking at or using data, whether in academia or in industry. Sometimes, the analysis is way too complicated for the simple outcome, which anyone could easily have worked out for themselves, unaided. ....