Capacity management powered by Subex:
Your goal: optimize network bandwidth by calibrating availability with spikes in demand to enhance the customer experience and maximize profitability. The business imperative: real-time capacity analytics, powered by data science algorithms and machine learning, and real-time inventory status of network services and resources to make informed decisions about capacity enhancement / modification.
ROC™ Capacity Management provides proactive, actionable business intelligence to make appropriate investments in maximizing network capacity. Our solution gleans insights from network capacity trends, correlates end-to-end capacity issues, simulates congestion points due to external events, and forecasts lead time for capacity exhaustion scenarios.
Our solution simulates network scenarios based on current traffic and uses predictive analytics to gauge the impact on business-critical functions and quality of service. It focuses on ‘capacity hotspots’ to allow planning and redistribution of capacity.
ROC™ Capacity Management aggregates data from your network ecosystem for a consolidated view of network utilization and bandwidth threshold. It automates data collection, interpretation and reporting for an accurate network capacity update. The solution leverages a big data framework with real-time processing of diverse network data feeds and offers rich visualization of data in reports and dashboards.
Our solution incorporates sensitivity analysis, a ‘what if’ modeling capability that assesses the impact on network capacity based on scenarios such as resource allocation, subscriber consumption or introduction of a new product / service.