Advanced analytics for maintaining and enhancing service levels for VoLTE / VoWiFi, CSFB, OTT, Encrypted Video, Web, Voice, Messaging, Roaming and Interconnection. High-level performance indicators and drilldown capabilities with failure analysis. Device, location and network equipment-based analysis for isolating the problem areas.
Argela NCA Service Analytics provides E2E service visibility across all domains, providing a comprehensive view of service performance – spanning mobile (2G/3G/4G/VoLTE), IMS/NGN, Fixed (PSTN/ISDN). Data and OTT Analytics provides non-intrusive, passive monitoring with full content analysis up to 100Gbps. Drilldown to service, network, terminal or subscriber details are provided, and data activity per application is graphed for most used applications.
Advanced analytics for maintaining and enhancing service levels are essential for ensuring that services consistently meet or exceed predetermined standards while also facilitating continuous improvement.
High-level performance indicators with drilldown capabilities are essential for effective management and optimization of both fixed and mobile services to provide a comprehensive view of service performance.
The evaluation of service quality with rich key KPI reporting for each service in the portfolio is an indispensable practice that encompasses all networks.
VoLTE & VoWiFi Analytics
Perform a comprehensive and complex evaluation of Voice service across LTE Core, IMS, and WiFi networks, encompassing the user plane and devices, all while incorporating extensive fail analysis capabilities.
Application and OTT Analytics
Conduct an analysis of application and OTT service quality utilizing common TCP metrics and application-specific KPIs. Perform multidimensional analysis, considering factors such as location vs. application, device vs. application, and application category, protocol, and device-based analysis.
Network & Customer Experience Index
Conduct Network Experience Index analysis, delving into the granularity of cell-level performance. Calculate the Network Experience Index for each individual subscriber.
Roaming & Interconnection
Enhance the assessment of inbound and outbound roaming service quality through the monitoring of roaming access networks and interconnection links. Improve the management of interconnection performance and roaming agreements for more effective handling.
Encrypted Video Analytics
Analyze YouTube and Netflix Metrics for detailed insights and streaming quality. Gain a deeper understanding of key application statistics to optimize content strategy and streaming experience. Employ AI and ML techniques to analyze encrypted video issues, enhancing network visibility even for encrypted data.
Location Analytics
Analyze Location Metrics for in-depth insights into geographical data. Gain a better understanding of location-specific trends and key statistics to inform decision-making and strategies.
Device Analytics
Retrieve both general device metrics and service-specific device brand and model information based on the services utilized by the devices.
Web / DNS Analytics
Measure the quality of web services in different locations and network equipment while maintaining comprehensive fail analysis capabilities. Implement service-based DNS service quality monitoring with in-depth fail analysis.
CS Voice Analytics
Assess the Quality of CS Voice Service for various locations, network equipment, and devices, while incorporating in-depth failure analysis capabilities.
Streaming Service Analytics
Assess the quality of streaming services in various locations and network equipment while incorporating thorough fail analysis capabilities.
CS Fallback Monitoring
Monitor the overall quality of CSFB service, including evaluating device performance from the perspective of those utilizing the CSFB service.
Messaging Service Quality
Evaluate the quality of SMS service across various locations, network equipment, and devices, while incorporating detailed fail analysis capabilities.
Network data is collected in real-time via data probes that intersect interfaces between different entities in each generation of the network. End-to-end fail analysis is provided for each and every service quality analysis. This analysis provides a programmatic way of analyzing the services and pinpointing the service-related failures without the need of node or protocol investigation.
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