Why granular, real-time data is critical for 5G analytics to drive network automation, CX insights, and GenAI-powered apps
As network operators work to meet the evolving demands of their 5G customers and operate the most efficient network, accessing the most accurate and reliable data in real-time has become crucial. Data powers some of the most strategic operational and business objectives such as enabling high levels of network automation; fueling GenAI-powered apps with trusted data and shortening the mean time to resolve for subscriber-impacting degradations. Real-time data is also needed to adopt a unified approach when breaking down data siloes or for a more customer-centric method to managing the network.
At the heart of meeting these goals lies assurance and 5G analytics. However, the traditional approach to service assurance does not deliver the granular real-time data that 5G analytics require.
Why a modern network needs a new approach
Traditional service assurance and network analytics have been network-driven more than customer experience-driven and based on data that is not delivered in real-time. Operators have been relying on data provided by network functions, which does not convey the real user experience. As a result, the operator can only infer the impact of network performance on customer experience. Moreover, since this approach does not correlate data with subscriber-based sessions across the network, the data they use lacks network-wide context.
Traditional assurance methods deliver data that has very low granularity, does not account for specific sessions, subscribers, and applications, and does not provide insights for pinpointing the root cause or troubleshooting problems. Added to the problem are data silos which prevent operators from accessing all the relevant data and from taking a unified approach to managing network operations.
As a result, all the great insights that are contained in the operator’s data remain out of reach. Network automation is compromised, there is limited visibility into customer-experience-impacting issues and GenAI-powered app outputs are unreliable since the data foundation is not complete. Operators’ decisions are consequently undermined since they can’t be based on actual, real-time conditions of the network.
Ultimately, for 5G analytics to support operators in their most strategic objectives, they need an assurance approach that delivers granular data at the subscriber, session, and service level—and they need it in real time. This is the very cornerstone of 5G analytics.
The key to accessing granular data
To obtain the data that 5G analytics mandate, operators need an assurance strategy that provides them access to end-to-end, session-based, subscriber, and app-level data. In addition, end-to-end call tracing from the user device to the RAN to the core network and XDRs (eXtended Detail Records) per subscriber session will deliver the vital information they need about single-user sessions.
Operators need to be able to monitor all traffic flowing through the network and filter out individual transactions to fully understand the service quality being experienced by each call or data transfer.
This is where RADCOM comes into play.
How RADCOM can help
The RADCOM ACE platform enables operators to gain the granular, real-time data they need for critical 5G analytics. It powers real-time traffic monitoring, analysis, and troubleshooting per subscriber, session, and service, correlating data from all the monitoring points in the network and putting network data into sessions.
In an Open RAN environment, RADCOM ACE provides real-time monitoring of the actual interfaces. For the core network, RADCOM ACE collects data via the HTTP/2 interfaces within the Service-Based Architecture (SBA).
With this powerful combination of capabilities, operators can be confident that their 5G analytics are supporting them and addressing their most strategic objectives regarding network automation, customer experience, and GenAI applications.
Moreover, troubleshooting becomes simple, and engineering work becomes more efficient with rapid root-cause analysis and resolution.
In conclusion
The benefits of granular, real-time data for 5G analytics cannot be understated. It is the foundation for complex 5G network automation, GenAI-powered apps, and great customer experiences.
With the most accurate 5G analytics at the right time, customer care representatives can access customer-level diagnostics that guide them through recommended next-best steps, leading to higher first-call resolution rates and improved net promoter scores.
Marketing can also benefit from gaining insights that drive promotions based on known customer value and measured service quality deviations, optimizing churn, and generating new revenues. The breadth of value is extensive, and among them is securing a competitive edge, brand loyalty, and business growth.
Read more about how RADCOM ACE can help create more value here.
