Big Data Analytics: The key to delivering better online streaming experiences | TO THE NEW Blog
Summary
According to the recent research by IHS Markit Technology, online streaming service subscriptions are expected to grow from 600 Mn in 2019 to 1.1 Bn by 2021. For delivering a personalized user experience, OTT video platforms implement data science techniques and advanced analytics to recommend relevant content, enhance engagement, increase viewership, and reduce audience churn. OTT Pioneers like Netflix, Disney, and Amazon Prime, among others are changing the rules of the game by leveraging big data analytics to produce engaging content, improve QoS and QoE to monetize successfully. They continually refine their recommendation algorithms, content metadata, and platform UI to ensure highly personalized user experience and increase the lifetime value of a customer. Therefore, in a hyper-connected digital world, where the online footprint of viewers is growing exponentially, and big data is getting even bigger, intelligent analytics is indispensable to gain valuable insights to foresee customer demands and preferences.
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