What if you could close the loop
between assurance and fulfillment
in near real-time?
Network transformation has been unprecedentedly rapid. Big data isn’t just big – it’s overwhelming. Emerging network virtualization technologies mean rapid, elastic changes to the network inventory and service topology, and transformative cultural change. What if you could automate network and service changes with the same solution you use to manage services interactively?
CENX’s capacity forecasting and workflow capabilities built on the solution’s powerful data and analytics enable telco business transformation with performance-driven, recipe-based, closed-loop automation at hyperscale. Align NetOps and DevOps, transform the NOC and the SOC, and respond to customer demands for self-service and cost-control with CENX.
WHAT IF YOU COULD PROCESS 3,000,000,000 ANALYTIC METRICS A DAY?
Harness the power of your network big data with CENX. Build powerful automation capabilities with accurate, contextualized data. Improve capacity forecasting. Enhance fault isolation. Develop a deep understanding of network performance. CENX’s advanced network analytic capabilities enable telco transformation.
What if you could forecast and manage capacity and utilization comprehensively and in detail?
Forecast capacity and other key performance indicators (KPIs) with at-a-glance visual trending based on historical data, on a per element basis. Reduce error-prone, manual service change processes and their costs. Tune your network to customer demand and utilization with CENX’s capacity forecasting and utilization monitoring capabilities.
What if you could simplify and streamline operations with the push of a button?
Take full advantage of NFV, SDN, and other technologies with CENX. Orchestrate routine service assurance and other operations tasks. Build out complex virtual network infrastructure stacks in near real-time. Automate and orchestrate network and service changes elastically with user-set policies, with CENX’s closed-loop automation capabilities.