#saschat

A6: The stories related to the analysis of fan related data translates across industries that serve consumers. Competition for that “entertainment dollar” is strong so teams/leagues need to be creative – which can inspire others. #sportsanalytics, #saschat

A6: as in sports, companies are using #analytics to minimize health issues of its employees: tracking their fitness, collaborating with their health care providers and generally helping them balance their work-life. #sportsanalytics #saschat

Perhaps #SportsAnalytics can help show *where* the anomalies are, which would help law enforcement to know where to look for proof. If it's not a legal case, it can point to the biggest anomalies, thereby attracting media attention and acting as a deterrent. #saschat

A6: Decision making in Sports is understandable for a broad audience and an easy way to explain analytics in general. People can relate to sports analytics easier than they can to i.e. tax fraude, thus easier to translate to own workplace #saschat #sportsanalytics

A5: Analytics could be used to track and identify referee bias or identify fraudulent ticket sales/reselling. #SASChat

A5: I would say the same way banks/ government and companies: detecting anamolies in performance/ finance #saschat #sportsanalytics

A5: endurance sports often have clear patterns in the data. #DataMining methods could be used to convict fraudsters (e.g. dopers) if they differ too much from the peer group. #sportsanalytics #fraud #saschat

A5: Analytics could determine the characteristics or events that occur when athletes are found using performance enhancing drugs, helping to educate and reduce the occurrence in the future #saschat

A5: Detecting fraudulent sales of merchandise online. #sportsanalytics, #saschat

A4: the @knvb @rickkoetsier uses analytics to get a better view of the football fan in NL, based on that insight they defined profiles/ roles and communicate accordingly, increasing engagement. Won them an award for best Data Driven Marketing! #saschat #sportsanalytics

A5: Sports bets are a million-dollar business. This undoubtedly attracts cheaters and scams. #Analytics can play a huge role in preventing and detecting gambling #fraud and save people's money #sportsanalytics #saschat

Using analytics to support referee would make sports feel more fair and that helps a lot in enjoying a game. #SASChat

A4: I would be less concerned about fan experience and loyalty than player experience and loyalty within a sports club. #saschat

A3: would be cool to push IoT to the max and have the ability to control the players on the pitch :) maybe I could finally bring back the Netherlands to the world stage (where we belong ;)) #sportsanalytics #saschat FIFA in real life

A2: Key Performance Indicators are now part of any athlete “biological passport”. Specific training programs supported by data are available to improve those indicators ( like VMA )- even for amatorial runners like me. #saschat #sportanalytics

A2 (1): Sports will always be heavily influenced by human behaviour (luckily). Analytics will help in reducing the risk for error and support decision making in sports, in game or in training...#SASchat #SportsAnalytics

A1: One of my favorite use cases of analytics in sports is the analysis by @GMSvolleyball of the location on the volleyball court where most of the attacks land. #saschat