Dimension video optimization solutions
This use case enables the service provider to understand the exact nature of video traffic being transported by the mobile network and is very important in building a customer specific traffic profile. The traffic profile is mandatory to understand which particular mode of optimization will be most effective in delivering video as efficiently as possible without compromising user experience.
Compare video optimization solutions
Q-VUE can assist in Video optimization vendor selection. Optimization performance can be evaluated independently in a lab or trial environment using Q-VUE analytics and objective QoE Metrics. This helps to ensure that the most effective optimization product for your traffic profile is selected for deployment.
Validate optimization performance
Once an optimization plan has been designed it is important to track the performance of the optimization solution to ensure that it is delivering the desired level performance. This includes KPI and user quality of experience measurements. Video traffic profiles change frequently as compelling new media sites are born, as encoding and streaming protocols evolve, and as new, more powerful devices and networks are introduced. Mobile service providers can ensure that their chosen solution continues to perform as expected or if course corrections are necessary to uphold desired service levels.
On-deck (with comparison to Off-deck) video service assurance
Comprehensive per session QoE monitoring for all on-deck video sessions is essential in assuring that the service being paid for by subscribers meets the desired level of quality. In situations where user experience has been impacted, having direct access to video quality records can help resolve customer issues quickly. Proactively, reports can be generated to compare On-Deck QoE against OTT QoE to ensure that paid content is delivered with superior quality. Quickly resolving QoE issues can greatly reduce customer support calls and provide the customer service representatives with valuable tools to help in validating customer quality issues.
CAPEX justification
Network operations and planning groups face the challenge of deploying network solutions that contain the cost of exponential video traffic growth while maintaining a reasonable perceived QoE and acceptable churn rates. Avvasi provides the deep video traffic analytics required to balance video QoE with operational costs. Determine where persistent service area congestion is impacting subscriber’s video QoE, helping to focus CAPEX investments where they will have the most impact. Use critical business data to justify capacity expansion, or other network infrastructure plans.
Service planning
Video user behavior analytics can be used by the mobile service provider for services planning activities. It allows them to see user trends and track activities related to content source, device size and type, protocol utilization, viewing time and video quality. Analyzing the data the mobile service provider can decide whether to plan value added services to offer enhanced access to compelling sites (e.g Facebook, Twitter, Hulu, YouTube etc). Given that more than 50% of all mobile data traffic is video, it is critical to understand what the majority of traffic is actually being used for on the network forming the corner stone of business intelligence.
