Ontology Intelligent 360 for Network Operators
Using the Ontology Dynamic Network Model, constructed from data about your network and service, without the cost and risk associated with traditional data integration, Ontology Intelligent 360 for Network Operators provides the visibility you need to address major challenges in network operations.
When things go wrong, you can combine accurate information from multiple systems and use this intelligence and visibility to automate the detection of significant misconfigurations, diagnose new problems, and investigate resolutions in real-time.
Infrastructure and Customer Navigation
A clear way to see complex customers, the services delivered to them, and the infrastructure that is delivering those services.
Your change management team can understand the likely impact on customers and services of multiple, concurrent planned changes in the infrastructure.
Real-Time Service Impact Analysis
Modern fault management systems are good at identifying what has gone wrong when a network failure or degradation occurs. What your fault management system can’t tell you is how much it matters. Large networks can easily have hundreds if not thousands of open technical faults at any given time, but without knowing how each of them is impacting the business, you can’t correctly allocate scarce resource to fix efforts or effectively manage customer communications about the consequences of the problem.
Existing solutions to this problem are, at best, extremely labour-intensive, requiring the linkage between network infrastructure, services and customers to be manually maintained and updated. They are labour-intensive because fault management tools enforce a strict model on how you must link your data. Ontology Intelligent 360 for Network Operators uses the Dynamic Network Topology Model created by Ontology 4’s Graph Search Data Alignment and Linking Engine to remove this restriction, meaning you can link data from many sources, enriching the fault with such things as contact details, SLA levels and cost of SLA breach.
When things go wrong, even when an alarm is generated, it’s difficult to determine the cause due to duplicate alarms and multiple alarms from layered equipment or protocol entities. Furthermore, if there’s legacy equipment involved which doesn’t produce alarms, even your fault management system can’t help you.
Manual investigation is a very difficult, complex and time-consuming process that requires scarce specialist knowledge. In contrast to most fault management root cause analysis systems, which use statistical approaches to try and determine the root cause of a group of clustered alarms, Intelligent 360 for Network Operators has a new approach which uses structural knowledge of the network connectivity to find network elements implicated in faults reported by the network. We call this Common Cause Analysis (CCA).
RAN Health Check Cards
Performance Management systems provide the infrastructure for collecting and storing measurement data from the Radio Access Network and calculating network KPIs from it, but without a comprehensive understanding of the underlying backhaul transport layers and their condition, joining up the dots between poor KPIs and their causes is painstaking.
Ontology Intelligent 360 for Network Operators RAN Health Check Cards bring together KPIs from performance management systems, threshold breach alarms and the Ontology Dynamic Network Topology Model to give operators all the information they need to track down the cause of degraded network performance in one place.
Infrastructure and Customer Navigation
Infrastructure and Customer Navigation provides your Customer Service, Service Fulfilment, Fault Management, Change Management and Account Management teams with an up-to-date picture of how a customer’s network and services are configured, and a complete and consistent view of the customer themselves.
Instead of attempting to manually collate information by accessing multiple systems, users are presented with accurate and complete information through a single, intuitive, search-based interface. The result is that users are better informed and more credible to their customers, which leads to quicker dispute resolution, faster provisioning, happier customers and increased up-sell revenue.
Dynamic Topology for NFV Service Assurance
Network Functions Virtualization (NFV) and Software Defined Networking (SDN) are ushering in a step-change in the degree of automation in CSP network operations.
To deliver true end-to-end service assurance in these next generation networks, data from the “classical” network, the OSS and the BSS must be brought together. Intelligent 360 for Network Operators makes this possible.
End-to-end service assurance requires complete visibility of all the physical and logical entities that participate in the delivery of a service alongside the associated information in the OSS and BSS. Data from the “classical” domain is complex and messy; data from the NFV domain is very fast moving.
Using Ontology 5’s dynamic data capabilities and the extreme flexibility of graph-data and semantic modelling, Intelligent 360 for Network Operators is able to bring these worlds together.
The resulting up-to-date and comprehensive information model is available directly to end users through the Ontology web UI or for access by MANO and OSS functions.