Z-Platform
DATA Platform
Z-Layer quality management platforms are designed to enable companies to continuously tracking of network and roaming services quality, while gathering data and providing comprehensive analysis by offering customizable reports and visual dashboards.
Key advantages of ZLayer data platforms:
- Data collection from various sources including drive tests, probes, and user devices.
- Troubleshooting and root cause analysis.
- Utilizing predictive analytics to anticipate potential degradation in service quality before impacting users.
- Sending real-time alerts about anomalies or performance degradations needing immediate attention.
- Supporting various technologies such as 3G, 4G LTE, 5G NR.
- Roaming partners performance evaluation to ensure compliance with SLAs.
- Measuring users satisfaction key metrics such as call drop rates, data speeds, and latency.
- Providing operational cost optimization insights.
Network Service Quality Management
ZLayer’s SQM empowers mobile and fixed service providers with insights into customers’ experience and service quality in an integrated platform, by providing the possibility of designing and evaluating various indicators in network, service and customer layers along with the benefits of its advanced tools and capabilities.
Roaming Quality Monitoring Platform
ZLayer provides network operators with GSE- a next generation solution to verify the performance of roaming and international services by executing different tests (voice & data services,..) and evaluating KPIs (success rate, delivery time, ..) directly on (out of the box) real end-user smartphones.
Roaming Quality monitoring (RQM)currently covers more than 120 countries around the globe, and can support access to 200 countries via our hosting partner network.
Revenue Assurance & Fraud Management
ZLayer’s RAFM solution enables telecom operators to safeguard their revenues and minimize fraud risks through an integrated and intelligent platform. By collecting and analyzing data from network elements and OSS/BSS systems, the solution defines and monitors revenue and traffic KPIs to detect anomalies, data inconsistencies, and billing errors, preventing revenue leakage.
Leveraging advanced analytics and machine learning, the platform ensures charging accuracy, identifies root causes of revenue loss, and detects various types of telecom fraud in near real-time. With its adaptive and self-learning capabilities, ZLayer RAFM continuously improves detection models to proactively prevent fraudulent activities and protect operators’ financial performance.
