DataMorphing: Dynamic Interaction with Basketball Big Data

Big data is coming to sports in many ways such as optical tracking. Its ultimate value is only realized if we enable customers, e.g., general managers, coaches or fans, to get insights from this data. The answer that has been successful in many data analytics domains is to allow users to manipulate the data quickly and leverage the best pattern recognizer we have: the human mind. The solution is the creation of interactive data visualizations that let people slice-and-dice data on the fly. We present tools and technologies that show how we are able to do this with basketball optical tracking data, the insights that it brings and how modern computational approaches can transform how sports and big data interact.

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