NBA Optical Analytics in the Real Worldby Philip Maymin
Chief Analytics Officer
This presentation draws on nearly half a decade of hands-on experience with the SportVu data to present practical insights on how best to extract value. The four main cross-dependent components are: asking the right questions, computing the answer, presenting the results, and automating the process. What tools, programming languages, and skills are needed to store and compute the data? What is the best way to quickly process files on a daily basis? How can projects be simultaneously quickly prototyped and yet managed to build an extensible system with real value for the organization rather than a collection of one-off results?