QoS Analyzer

Dynamic and Detailed Dashboards using QoS Analyzer

Quality of Service (or the lack thereof) is a key factor contributing to churn and slow user adoption of services. With data, VAS and content consumption assuming the main mantle for revenue generation, operators are blind sighted to negative subscriber experiences and there continues to be a consistent gap between the actual QoS metrics at the subscriber level vs. what is reported by network facing systems. For any QoS endeavor to be meaningful, the "actual vs. reported gap" problem needs to be addressed effectively.

The QoS Analyzer is a prepackaged set of data models, workflows and dashboards to help analysts monitor quality of subscriber experience in near real-time and identify outliers and negative experiences. It tracks QoS metrics across the life cycle of the customer and transcending all touch points.

The QoS Analyzer includes the following modules:

Customer QoS Analyzer: This module helps highlight “QoS by customer by service” including all outliers and negative experiences below the SLA threshold. It also prioritizes the problem areas using customer micro-segments and helps forecast potential losses to both the customer and the provider. The solution can also proactively identify root causes of poor QoS including incompatibility with handsets/software, incorrect client or server side configurations and payment errors.

Network QoS Analyzer: This module includes prepackaged reports on a wide spectrum of QoS parameters measured from a service/network perspective. It includes critical metrics like failed downloads, application errors, MOS, packet loss %, packet delay, packet RTT, active throughput, HSR, ASR, TCH failures etc. and tracks metrics appropriate for each type of service.

Partner QoS Analyzer: When telcos front-end third party products and services, it is imperative for them to measure QoS on these services as well. The Partner QoS Analyzer component monitors third party service metrics and delivers timely alerts as well as periodic summaries to both the telco and the partner.

QoS Analyzer also enables analysts to correlate QoS data with customer context that includes qualifying and prioritizing attributes (such as: location sensitivity, number of failures, price of content, content types affected, time of access, demographic and usage customer segments); This correlation helps make these QoS measures inherently actionable in terms of proactive resolution and also provides more color to the nature of the problem and its impact.