Unleash the power of signaling-data extraction, to stay ahead in the data-driven telecom landscape with seamless extraction and valuable insights for smarter decision-making.
Vanrise's Signaling Probe is an advanced network extraction solution, designed to operate in a passive mode, to collect in real-time, the signaling messages of voice, SMS, and data services running across CS/PS networks. Tailored for fixed operators, mobile operators, and telecom regulators, our solution efficiently captures Call Detail Records (CDRs) and Internet Protocol Detail Records (IPDRs) from signaling links, to leverage them in several applications and use cases.
Ensures the accuracy and reliability of CDR and IPDR data for precise billing, network analysis, and reduced revenue leakage.
Empowers operators with data-driven insights for informed decision-making, resource optimization, and network management.
Assure telecom revenues by auditing billing information and enforcing accurate revenue declarations by operators.
Immediate access and analysis of real-time data, allowing operators to respond promptly to network issues and performance irregularities.
Helps optimize network performance by analyzing IPDR data, identifying issues impacting service quality and user experience, and applying network improvements and upgrades as needed.
A real-time detection and elimination of various telecom fraud types such as, Wangiri, PBX-hacking, call spoofing, bypass fraud, IRSF fraud, and others, to protect networks, increase revenues, and enhance subscribers’ experience.
Streamlines data extraction and processing, to reduce manual intervention efforts and operational costs.
The solution ensures compliance with industry regulations and standards, and adherence to telecom regulators’ QoS/QoE guidelines, for the sake of reducing legal and operational risks, and achieving accurate subscriber billing and consumer SLA protection.
The solution embraces an open architecture for seamless Integration with existing network and operational subsystems (OSS/BSS), to automate data exchange and analysis. The solution accommodates for growing data volumes and network expansions.