that monitors the service performance of ALL subscribers in real-time
So how does it work?
Applications ready to use
All our applications run on top of our in-house developed platform. They are not user license-based, they can be used by any user throughout your organization. All applications include support and continuous updates.
API to further digitalize CX
Our API is used to provide data to other systems in your network. Typically it's used to enable technical self-service through your app, website, chatbot, IVR or Smart Assistant.
Input data from multiple sources
We collect data from different sources in your mobile network such as; passive probes, OSS, BSS, cell data, device data, CRM and trouble ticket systems, third party data sources like e.g. speed test services and weather information.
Cloud-based or on-premise
Our platform runs on virtual or dedicated hardware. It can be an on-premise installation inside your network or hosted on a public cloud provider, like AWS.
Machine learning is used to automatically learn thresholds for different user- and network KPI:s and pick up deviations. These deviations can be used to trigger alarms or events. To better understand who will be affected by future issues, predictive analytics is used to estimate subscriber patterns.
Our platform and applications store data to detect technical faults and errors in accordance with EU legislation. It has been deployed at numerous EU-based operators and passed all legal instances. Our platform and applications do not store raw general purpose reporting data.
Applications & API
Collects real NPS values from subscriber groups and connect with technical service performance. Analyzes which technical KPI:s have most (and least) effect on subscribers’ NPS.
What our customers say
Process Manager Billing, Service & Support @ Telenor
With Subtonomy, we can monitor and secure service performance on a customer level, which has increased customer satisfaction. We’re also enabled to offer new and more advanced services.
This data-driven approach where we are able to look at how network data actually affects customers and respond instantly to this when engaging with the customers, I think is the way to work.