SAP Uses Own Big Data Analytics to Project Super Bowl Winner
When all the data was compiled, social networks scanned and data illustrations completed, SAP came up with this: Denver 26, Seattle 23.There are a few ways to anticipate the result of a sporting event: 1) by emotion, which is pulling for a favorite team to be victorious, whether or not it's actually the better team; 2) by educated guess, which is using one's own knowledge and intuitiveness to project a winner; and c) by data science, which entails utilizing big data analytics to determine who should rightly be the event champion. All these viewing methods, of course, are commonly found in places like Las Vegas, yet they still amount to mere guesses in the end. However, with all the sophisticated new IT now available in the big data analytics sector, one would think that more accurate sports prognostications could and should be made available. After all, huge business problems—such as projecting where oil wells should be drilled and predicting sales spikes based on time of year and product sales history—are being solved every day by these spiffy systems. Quest for Science-Aided Clairvoyance
SAP, the Germany-based business software maker that has found renewal with its in-memory HANA database and the new analytics apps that run on it, decided to take a crack at predicting the victor in the Feb. 2 matchup between Super Bowl XLVIII foes Denver Broncos and Seattle Seahawks. In its quest for clairvoyance, SAP not only analyzed football season statistics but also factored in natural language opinions and analysis from social networks like Twitter, LinkedIn and Instagram.