Telecom Analytics Platform | Big Data Subscriber & Network Intelligence
Petabyte-scale big data lakehouse and operational intelligence platform correlating deep packet inspection (DPI), cell performance, billing records, and subscriber journeys.
What is Telecom Analytics Platform in Telecom & Communications?
A telecom analytics platform aggregates network performance counters, call detail records (CDRs), probe telemetry, and billing transactions into an enterprise data lakehouse. It provides telecom executives and network planners with Customer Experience Index (CEI) scoring, churn risk indicators, and location-based population intelligence.
Core Engineering Capabilities for Modern Telecom Networks
Production-grade features designed for CSPs, MNOs, MVNOs, and telecommunications infrastructure providers.
Customer Experience Index (CEI)
Compute real-time individual subscriber satisfaction scores by correlating dropped calls, video buffering events, and throughput throttling.
Geographic Population Mobility Analytics
Analyze anonymized subscriber signaling data to model commuter traffic patterns, urban footfall density, and public transit utilization.
App-Level Quality of Service Tracking
Extract deep packet inspection (DPI) flow analytics to benchmark performance across popular video, gaming, social media, and VoIP apps.
Network Capex Investment Prioritization
Pinpoint geographic areas with high high-value enterprise subscribers suffering poor radio coverage to optimize future cell site capital spend.
Subscriber Lifetime Value (LTV) Modeling
Predict total customer value, upsell propensity, and device upgrade readiness to tailor personalized retention campaigns.
Automated Regulatory Reporting
Compile auditable QoS compliance reports for telecommunications regulatory authorities tracking voice quality, coverage, and broadband speeds.
Overcoming Mission-Critical Telecom Bottlenecks
How our technical implementations resolve legacy BSS lock-in, subscriber churn, 5G slicing complexity, and revenue leakage.
Massive Data Volumes Overwhelming Traditional Databases
Carriers generate billions of network probe records and CDRs daily, causing legacy relational databases to crash during basic queries.
Disconnected Network and Commercial Data Silos
Network engineering teams monitor dropped call rates while commercial teams view billing records, leaving neither able to measure customer impact.
Strict User Privacy and Anonymization Mandates
Monetizing spatial mobility data risks severe GDPR and national data privacy penalties without rigorous anonymization.
Delayed Batch Insights Arriving Too Late
Running overnight batch reports means network executives discover major network outages and subscriber churn spikes 24 hours late.
End-to-End Carrier Delivery & Rollout Workflow
A disciplined four-stage engineering lifecycle ensuring zero subscriber downtime and seamless core network integration.
Multi-Source Data Ingestion
Connect streaming CDRs, DPI probe data, network performance metrics, and CRM billing logs via scalable Kafka pipelines.
Schema Standardization & Masking
Normalize records according to TM Forum SID standards and apply cryptographic hashing to sensitive MSISDN and IMSI fields.
Automated Metric Calculation
Execute streaming aggregations computing Customer Experience Indices, cell congestion scores, and revenue velocity metrics.
Executive Dashboards & API Export
Publish interactive business intelligence dashboards for management and expose secure REST APIs for external commercial mobility products.
Four-Tier Scalable Carrier Architecture
Cloud-native infrastructure adhering to TM Forum Open Digital Architecture (ODA) and 3GPP standards.
Carrier-Scale Event Streaming
Columnar Distributed Lakehouse
Distributed Query Engine
Interactive Dashboards & GIS
Certified Security & Telecom Industry Compliance
Engineered to comply with TM Forum Open APIs, 3GPP specifications, ETSI standards, and carrier data security laws.
Measurable Outcomes Across Carrier Operations
Demonstrated performance gains across billing accuracy, network availability, churn mitigation, and operational expenses.
Carrier-Grade Deployment Architecture
Flexible operational setups supporting telco edge clouds, private carrier datacenters, and sovereign hybrid cloud.
Carrier Sovereign Cloud Lakehouse
Private cloud deployment hosted in national sovereign datacenters fulfilling all legal data residency and privacy mandates.
Hyperscaler Hybrid Lakehouse
Elastic deployment on AWS, Azure, or Google Cloud leveraging managed object storage and serverless query engines.
Multi-Tenant Telecom Analytics SaaS
Turnkey hosted environment designed for regional MVNOs and fiber altnets requiring immediate BI capabilities without infrastructure management.
Frequently Asked Questions
Direct technical answers regarding TM Forum Open APIs, 5G standalone cores, diameter/HTTP2 mediation, and billing scalability.
How does the Customer Experience Index (CEI) differ from standard network KPIs?
Network KPIs measure hardware performance (such as cell availability percentage). CEI calculates the actual end-user perception of quality by weighting dropped calls, video stall durations, download speeds, and billing issues into a single score per subscriber.
How is user privacy protected in location-based mobility analytics?
The platform employs spatial aggregation and differential privacy algorithms that strip personal identifiers (MSISDN, IMSI) and enforce minimum group thresholds (k-anonymity), ensuring individual trajectories cannot be reverse-engineered.
Can the analytics platform process both mobile cellular and fixed fiber broadband data?
Yes. The unified data model ingests telemetry from 4G/5G mobile packet cores, GPON/XGS-PON optical line terminals (OLT), and home Wi-Fi gateways, providing a comprehensive view of converged telecom operations.
How fast can operators execute queries across multiple years of CDR data?
Using columnar time-series storage (ClickHouse/Apache Iceberg) with automated data indexing and partitioning, analytical queries across billions of historical records return in under 250 milliseconds.
How does the platform assist telecom planning teams with capital expenditure (Capex)?
By cross-referencing cell traffic saturation maps with customer revenue data, the platform identifies congested cell sites that carry high concentrations of high-value enterprise subscribers, guiding antenna upgrades where ROI is highest.