Capacity Planning Analysis
Drive smart investments in capacity, coverage and CDNs with advanced traffic analytics
Market Context & Challenges
Network operators traditionally rely on limited metrics—such as peak bandwidth demands or subscriber counts—to plan capacity upgrades. However, these metrics often fail to provide a comprehensive view of network performance, leading to inefficient investments and suboptimal resource allocation.
Limited Traditional Metrics
Peak bandwidth and subscriber counts fail to provide comprehensive network performance insights
Inefficient Investment Decisions
Lack of granular data leads to suboptimal resource allocation and inefficient capacity planning
Key Capabilities & Benefits
Comprehensive visibility and advanced analytics for optimal capacity planning
Comprehensive QoE Metrics
Monitor latency, packet loss, and throughput to identify performance bottlenecks with granular visibility across all network layers.
- • Real-time performance monitoring
- • Latency and packet loss analysis
- • Throughput optimization insights
- • Network bottleneck identification
Granular Application & User Visibility
Understand how subscribers use the network, including detailed application and service usage patterns for informed decision-making.
- • Application usage analytics
- • Service consumption patterns
- • User behavior insights
- • Traffic trend analysis
Network Topology Awareness
Gain insights into network hierarchy and traffic flow to optimize resource allocation and improve overall network performance.
- • Network hierarchy mapping
- • Traffic flow optimization
- • Resource allocation insights
- • Performance correlation analysis
5G and Edge Readiness
Leverage contextual and slice awareness for 5G core and edge environments, enabling operators to strengthen their position in the 5G value chain.
- • 5G slice performance monitoring
- • Edge computing optimization
- • Contextual awareness capabilities
- • Future-ready architecture
Location Performance & Services
Location-based insights for strategic capacity planning and optimization
What-If Analysis
Conduct highly accurate what-if analyses to predict the impact of capacity changes before implementation.
- • Capacity change impact prediction
- • Performance modeling
- • Risk assessment
Service Demand Analysis
Identify services driving demand in specific locations and analyze application trends over time.
- • Location-specific service analysis
- • Application trend monitoring
- • Demand forecasting
Investment Optimization
Optimize investments to maximize QoE improvements and ensure capital is spent where it delivers the greatest benefit.
- • ROI maximization
- • Strategic investment planning
- • Resource prioritization
Key Benefits
Measurable improvements in network efficiency and investment returns
Strategic Applications
Critical scenarios where capacity planning analysis delivers value
Infrastructure Investment Decisions
Make informed decisions about capacity expansions, CDN placements, cache locations, and peering relationships based on comprehensive data analysis.
- • Capacity expansion planning
- • CDN placement optimization
- • Cache location strategies
- • Peering relationship optimization
Real-Time & Big Data Analysis
Visualize data in real-time or export to big data systems for deeper analysis, enabling data-driven decision making across all network operations.
- • Real-time visualization
- • Big data integration
- • Advanced analytics
- • Predictive modeling