Ibm Big Data Sports

329 Words2 Pages
1. Describe the scenario. a. Sports Networks around the world must share data like video clips and footage from different sporting events. Beyond that, they must also keep track of statistics and scores. They use big data in order to organize and manage all of these video clips and scoring information. jStart began helping sports companies keep tract of their big data. However, there were complications. “These logs often took the perspective and idiosyncrasies of the individual staff members, using specialized notation or phrasing specific to that individual. An additional complication: the video was captured in video tape format—and the record keeping and indexing of the clips was at the physical tape level, not at the individual play level.” They needed major editing to take away the “customization” of the individual workers. 2. Identify the Benefits jStart’s data analytics expertise was well-combined with IBM’s text analytics technologies. The duo was able to help enhance jStart’s video clip library system so that they could present timely and relevant clips in live and produced shows. In their new data system they could more easily and quickly search and identify key videos for shows and helps staff create better content for the network with “play-by-play indexing” and made the search capabilities better. 3. Challenges: One of the biggest challenges in implementing this in the business world, would be getting people in the sports world to actually use it. The sports world is straightforward, and it’s been pretty much the same since the beginning of its time. Being able to log all of the sports event and create a log of every play during the game. These logs often took the perspective and idiosyncrasies of the individual staff members, using specialized notation or phrasing specific to that individual. One other

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