With rapid development of IPTV and OTT video services, telecom and broadcasting operators have gradually shifted from bundled sales, rapid development of users, and free-to-play video operation modes to focusing on user experience quality, precision advertising, and boutique programs modes. The transformation of the refined operating model is to achieve sustainable video business operations and earnings growth. Big data analysis of a large number of end-user viewing behaviors and viewing experience quality data, extracting high-value data that is conducive to video network optimization, business operations, and marketing, is the key to achieving this goal.

Dekscom deploys QoS agents in tens of millions of IPTV/OTT/DVB video terminals to collect massive user viewing behavior and viewing quality data; deploy hardware probes at all levels of CDN platforms and network critical locations to capture video services quality data. Then import the data into Spark/Hadoop-based EVQBD big data analysis system, real-time and offline statistical analysis of massive data through Spark+HIVE+HDFS-based big data engine, and realize data presentation through flexible customized reports and diversified charts visualization, providing video operators with live ratings, on-demand hot-spot statistics, user portraits, precision ads and personalized program content recommendations, as well as video networks and CDN optimization services.