Modular by Default • Dynamic by Need
Data Visualization Module
Every second, modern networks generate vast volumes of traffic, events, and security signals. The challenge isn’t collecting this data - it’s making sense of it. What sets our solution apart is not just the depth of insight it provides, but the engineering philosophy behind it. A modular, use-case-driven approach ensures analytics evolve in lockstep with the network and its operational priorities.
Instead of building static, predefined dashboards, we developed a modular analytics architecture in which each reporting unit or insight module is tailored to a specific operational domain (e.g., DNS, subscriber health, threat activity, policy enforcement, or heavy-traffic behavior).
Reporting & Analytics
• Rapid deployment of new modules based on customer use cases or evolving regulatory needs.
• Horizontal Scalability, as new services or network functions emerge.
• Customization of logic and visualization per client, industry, or jurisdiction.
• Maintaining performance even with hundreds of data sources and millions of flows per day.
From Data to Dashboard • How It Works
1. Real-Time Ingestion
• Data is ingested from DPI nodes, subscriber metadata (IMSI, location), DNS logs, syslog events, policy enforcement engines, and threat databases - in real time via Apache Kafka.
2. Stream & Batch Processing
• High-performance stream processors and OLAP engines aggregate and correlate data, enabling both instant dashboards and deep historical analysis.
3. Use-Case Modeling
• Each module is shaped around a specific operational query, such as:
◦ “Which services are degraded in a given region?”
◦ “How many subscribers triggered policy enforcement during a specific time window?”
◦ “Where are the encrypted DNS flows originating?”
◦ “Which users or domains are affected by active blocklists?”
This question-driven model ensures that analytics are not abstract - they are immediately relevant.
4. Dashboard Generation
• All modules support:
◦ Interactive filters (time, subscriber group, location, protocol, service).
◦ Drill-down views (from global to subscriber-level).
◦ Exportable reports for compliance, auditing, or internal review
◦ Integration with NMS, SIEM, or reporting tools via APIs.
Your Platform • Your Priorities
FLEXIBLE MODULE DEPLOYMENT
Our customers don’t need to deploy every module at once. Instead, our system supports progressive rollout, where dashboards can be:
• Activated based on license or operational maturity.
• Customized to match local KPIs or compliance metrics.
• Extended with custom logic, labels, or tagging schemes.
• Tuned for multi-tenancy or regulatory segmentation.
INSIGHT DOMAINS SUPPORTED
Key categories include:
• Traffic Visibility & Classification
• Subscriber Analytics & Health Monitoring
• Policy Enforcement Reporting
• Service & Location Performance Diagnostics
• Cybersecurity Threat Detection & Correlation
• DNS, Content Filtering, & Information Leakage Analysis
Purpose-Built Intelligence Modules
Quant Azimuth has developed a robust and continuously expanding portfolio of analytical modules, each tailored to a specific operational domain. These modules are fully integrated into the Network Intelligence Platform and available for immediate deployment, customization, or extension. These modules are available out-of-the-box, fully supported by our data ingestion and visualization stack, and designed for both real-time monitoring and historical correlation.
Built for Operators • Trusted by Agencies
Traffic Classification
• Real-time visualization and breakdown of classified network traffic types.
Cyber Threats Analysis
• Detects and visualizes security threats with subscriber correlation.
Leaks
• Identifies signs of sensitive data leakage across protocols and locations.
DNS Traffic Analysis
• Breaks down DNS queries, responses, and encrypted DNS (DoH) activity.
Global Policy Analysis
• Analyzes enforcement patterns of global traffic and content policies.
Content Blocking Analysis
• Tracks and visualizes traffic affected by active blocklists.
Heavy Traffic Policies Analysis
• Monitors users, services, or regions affected by traffic control measures.
Network Health
Provides a macro-level view of latency, throughput, and packet loss.
Service Health
• Displays real-time metrics for service-specific performance degradation.
Service Analysis
• Offers deep-dive analysis of a selected service's operational KPIs.
From Raw Data to Real Decisions
Future-Proof by Design
At Quant Azimuth, modular visibility is the foundation of effective network operations. Our approach to reporting and analytics gives clients the tools they need today - and the flexibility to adapt to tomorrow. Thanks to our microservice-based architecture and metadata-rich pipelines, we’re able to:
• Quickly introduce support for new protocols (e.g., QUIC, DoH) with minimal delay.
• Add AI-based scoring, anomaly detection, or clustering per module.
• Build per-subscriber or per-service behavioral models.
• Reuse data pipelines across visual and enforcement layers (e.g., use the same DPI data for dashboards and blocking policies).
Whether it’s a national telecom operator managing congestion and SLAs, a public-sector network auditing content policy enforcement, or a law enforcement body tracking anomalies, our reporting and analytics platform delivers clarity, speed, and control. And as client needs evolve, so do the Quant Azimuth modules.
