Joiner correlates and aggregates network information from different interfaces into user data records. Analytic tools can quickly process this data with no further correlation burdens.

Adaptation libraries are available for market leader vendors. In case a vendor feed is not part of libraries, just ask, nTh will provide the development and integration services.

Adapt records generated by Network Elements, Active and Passive Monitoring Systems, and similar sources. It also comes with a PCAP file adaptor which makes it the ideal tool for testing new technologies during test and initial rollout phases.

Joiner proved its correlation capabilities in several deployments. Customers may adjust correlation rules to cope with vendors or networks custom implementations.

An inventory of 4G, 5G, and IMS core network protocols is available.

Released on Docker containers for seamless integration into virtual environments. An orchestrator may deploy and scale Joiner according to the type and quantity of traffic to manage.

Joiner consolidates feeds from probes and network elements into user-sessions in real time. It reduces the amount of user data to store, enabling analytic tools to use simple and straightforward queries.

Probes and network elements feed Data-Lakes with a huge amount of protocols information with proprietary formats. Analytic applications need to query, sort, and correlate an impressive amount of data to obtain a unified user view; this negatively affects their performances and the overall solution costs.

TELCOs increasingly optimize the Radio Access Network (RAN) based on service-level performance rather than purely network-centric metrics. In these scenarios, simply correlating user-plane and control-plane data does not provide sufficient granularity for accurate cell-level measurements.
Joiner addresses this gap by correlating records generated by RAN subsystems with user-plane service data, including video OTT services (HS4VS), cloud gaming and collaboration tools (HS4CT), as well as additional configurable service categories (HS4TM).
HighSee records can be enriched with detailed radio and location insights, such as cells visited by subscribers, geographic position, RSRP, RSRQ, and additional network indicators. This enriched dataset is ready for seamless ingestion into analytics and optimization platforms, enabling advanced use cases such as self-driving RAN.

Service providers use active test systems to evaluate end-to-end network performances, and passive monitoring tools to detect, isolate, and correct impairments. With Joiner's correlated records, providers may trace both test sessions and real users sessions, virtually at each network interface, gaining full visibility during rollouts, bringing-into-service, and operational phases.

Service providers can increase revenues and attract new subscribers with tailored OTT services, but they must identify the QoE and QoS delivered to their subscribers. Joiner correlates and enriches control plane signaling records from third-party vendors with HighSee OTT sessions, adding valuable information like IMSI, MSISDN, IMEI, APN, and Cell-ID. Service providers have all it takes to manage subscribers, services, and networks.