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Until recently, the sports entertainment industry was dominated by cable or satellite TV systems and companies; if a customer wanted to watch a particular sporting event, they had little (or no) choice in how to do so. Now that consumers are breaking free from traditional TV, they are increasingly turning to specialized services streaming exactly the content they’re looking for. And while they are willing to pay for these services, it means that entertainment companies are held to increasingly higher standards when it comes to quality and offerings.
In other words, because customers can turn elsewhere, entertainment companies have had to up their game (so to speak). Today, that means bringing innovation by way of predictive analytics and machine learning to optimize every aspect of the business, from marketing to customer service to product offerings. To do this efficiently, they must also bring this innovation at scale, hiring fewer people to do more such that insights grow exponentially along with the amount of data being collected. But how?
DAZN is a subscription service owned by Perform Group dedicated to live and on-demand streaming of worldwide sporting events. It offers access to more than 8,000 sporting events a year across a wide range of devices to customers in Austria, Germany, Japan, Switzerland, and Canada, with more markets coming soon. In an effort to continue to grow their business in existing and new markets, DAZN wanted a fast, low-maintenance way to enable their small data team to run predictive analytics and machine learning projects at scale.