Nova Context's (previously known as EXFO Ontology’s) automated common cause analysis uses innovative and unique topology data to answer the question: what do all these entities have in common? This is significant because it automates one of the most expensive (in terms of lost customer revenue and operational expenditures) and labor-intensive tasks in order to resolve network faults in a way that is applicable to all communication service providers (CSPs).
To achieve optimal operational efficiency and increased customer satisfaction, CSPs require an advanced degree of automation in service assurance. Without it, they risk wasted resources, customer churn and high OPEX due in part to:
Automated common cause analysis addresses the lack of automation in service assurance by using insights from Nova Context's multilayer network and service topology and combining those with EXFO Xtract’s measurement analytics to automatically detect KPI violations and automatically trigger a topology-driven common cause analysis of these violations. Operators then receive a list of related performance problems and their ranked possible causes.