At the core of Avvasi solutions is a unique technology that allows for a highly scalable, real-time measurement of video-based Quality of Experience (QoE). Much like MOS scores, this perceptual measurement accurately reflects subscribers perceived experiences with video content. Avvasi is able to break down video traffic by device, source, content, media format, media duration, and network topology.

Avvasi Q-VUE
Q-VUE is the first network-based system that enables service providers to monitor, process, and analyze the video demographics and Quality of Experience (QoE) of mobile video traffic. Q-VUE implements a zero-reference QoE model in a network-wide deployment that scales to support 3G and 4G networks. The system employs a passive probe that analyzes all traffic on a network, providing real-time analytics for media content. Furthermore, the data provides for the extraction of live traffic analytics and identification of video usage trends, which together form the basis of revenue-generating service offerings. Q-VUE provides a high-performance analytical database solution to allow the retrieved data to be collated and analyzed using automated and ad hoc methods, and provides support for real-time data mining. This OTT video business intelligence offers seamless integration into OSS/BSS systems to support revenue assurance and service planning activities.

Q-VUE provides:

• The only RAN-aware OTT video QoE measurement system
• Real-time media information capture that allows you to identify current trends and create revenue-generating offerings
• Interactive data analysis
• Accurate measurement of subscriber QoE
• Early detection of users likely to churn as a result of poor user experience