Turn Fragmented Subscriber and Network Data into Connected Telecom Intelligence
Cogrion helps telecom organizations connect subscriber profiles, plans, usage, billing, consent, KYC, network quality, customer service, campaigns, and revenue signals within one governed intelligence layer.
Move from disconnected telecom systems to trusted subscriber context, predictive insights, and prioritized customer and network actions.
Telecom companies have more subscriber data, but not enough connected customer context.
Telecom organizations operate across CRM, billing support systems, operations support systems, call-detail records, recharge platforms, network monitoring, digital channels, campaign tools, KYC systems, and customer-support applications.
Each system contains valuable information, but subscriber and network signals often remain disconnected. Marketing teams struggle to identify churn risk and suitable offers. Customer-service teams lack visibility into the network or billing causes behind complaints. Network teams need to understand how service issues affect subscribers. Revenue teams must detect abnormal usage, subscription abuse, and leakage. Data teams need stronger profile completeness, consent, and KYC governance.
Cogrion connects these fragmented signals through an ontology-driven intelligence layer supporting Subscriber 360, churn prediction, complaint intelligence, network analytics, plan recommendations, and revenue assurance.
Telecom Use Cases
Each use case connects a telecom persona, operational challenge, and Cogrion capability to a measurable customer, network, service, or revenue outcome.
Subscriber 360
Create a governed Subscriber 360 view connecting customer identity, segment, plan, usage, billing, recharge, network experience, consent, KYC, complaints, and campaign engagement.
Unified subscriber profile, subscriber relationship graph, governed metrics, profile-completeness monitoring, consent and KYC visibility, duplicate detection, and data-remediation queue.
Subscriber Churn Prediction
Predict churn by connecting usage behaviour, recharge activity, billing history, complaints, network quality, plan information, campaign response, and customer engagement.
Subscriber churn-risk score, high-risk segment dashboard, explainable churn factors, retention-priority list, and recommended retention offers.
Complaint Analytics and SLA Tracking
Connect support tickets, complaint categories, subscriber profiles, billing activity, network events, service history, and resolution workflows to identify recurring issues.
Complaint dashboard, root-cause analysis, SLA-breach alerts, resolution-time monitoring, repeat-complaint indicators, and prioritized service actions.
Network Performance Analytics
Connect tower telemetry, outages, congestion, latency, dropped calls, subscriber complaints, usage behaviour, and geographic information to monitor service quality.
Network-health dashboard, anomaly alerts, tower and circle comparisons, congestion indicators, affected-subscriber analysis, and prioritized network interventions.
Plan Recommendation and ARPU Optimization
Recommend suitable plans by connecting subscriber usage, current plan, recharge behaviour, demographics, service preferences, campaign responses, and margin information.
Next-best-plan recommendation, subscriber-segment dashboard, ARPU opportunity view, plan-conversion analysis, and personalized offer rationale.
SIM Fraud and Revenue Assurance
Connect call-detail records, subscriber identity, devices, billing, recharge, activation, KYC, usage, and network activity to identify suspicious behaviour.
Suspicious-usage alerts, fraud-risk scores, related-account clusters, revenue-leakage indicators, investigation priorities, and explainable anomaly factors.
Create trusted subscriber context across every telecom system.
Cogrion's Subscriber 360 solution helps telecom organizations move from fragmented subscriber records to governed customer intelligence. By connecting subscriber identity, segment, circle, plan type, ARPU, consent, KYC status, profile completeness, data quality, and customer activity, Cogrion identifies complete profiles, incomplete entities, consent gaps, and records requiring remediation.
Subscriber Intelligence Overview
Monitor total subscribers, average ARPU, complete profiles, consent coverage, average profile score, and incomplete subscriber records.
Subscribers and ARPU by Segment
Compare subscriber volume and average ARPU across Premium, Budget, Value, Youth, and Enterprise segments.
Consent Status and KYC Verification
Compare subscriber and KYC-verification volumes across granted, pending, and withdrawn consent statuses.
Profile-Completeness Distribution
Group subscriber profiles into complete, partial, and incomplete categories to understand overall data readiness.
Subscribers by Circle
Compare subscriber volumes across telecom circles and regions to understand geographic distribution.
Subscribers and ARPU by Plan Type
Compare prepaid and postpaid subscriber volumes with average ARPU to understand plan-level customer value.
Incomplete Subscriber Profile Remediation
Provide data teams with a searchable list containing subscriber ID, name, segment, circle, profile completeness, data-quality score, consent status, and entity status.
How Cogrion turns telecom data into trusted action
Connect
Bring together CRM, BSS, OSS, call-detail records, billing, recharge, network telemetry, KYC, consent, digital engagement, campaigns, devices, and customer-support data.
Govern
Catalogue, validate, standardize, secure, and trace subscriber data through lineage, ownership, consent controls, KYC verification, access policies, entity resolution, and data-quality rules.
Understand
Build connected context across subscribers, accounts, segments, plans, devices, recharges, usage, network events, towers, circles, campaigns, complaints, and support interactions through Cogrion's ontology and semantic layer.
Predict
Generate intelligence around subscriber churn, plan conversion, ARPU opportunity, complaint escalation, network anomalies, fraud, and revenue leakage.
Prioritize
Rank subscribers, retention cases, network issues, service complaints, fraud alerts, plan opportunities, and profile-remediation tasks according to urgency, risk, and business impact.
Act
Turn intelligence into dashboards, retention offers, plan recommendations, service workflows, network interventions, fraud investigations, and data-remediation actions.
Telecom outcomes Cogrion helps enable
One governed intelligence layer across the subscriber lifecycle
Cogrion does not replace CRM, BSS, OSS, network, billing, recharge, KYC, or customer-service systems. It connects and strengthens them. By combining governed data, telecom-domain relationships, semantic metrics, predictive intelligence, and AI-assisted recommendations, Cogrion helps teams make trusted decisions across customer value, network operations, service management, product planning, fraud, and revenue assurance.
Telecom-aware context
Connect subscribers, accounts, plans, devices, usage, recharge, billing, towers, network events, campaigns, complaints, consent, and KYC through an ontology built around how telecom actually works.
Governed subscriber intelligence
Ensure Subscriber 360 views and business metrics are supported by complete, reliable, traceable, and controlled data — with full lineage and data-quality visibility.
Predictive customer and network support
Move from retrospective reporting to proactive action on churn, service quality, network anomalies, plan opportunities, fraud, and revenue leakage.
Persona-specific experiences
Deliver relevant dashboards and action queues to marketing, customer value, product, network operations, service, revenue assurance, and data teams.
Ready to turn telecom data into connected subscriber intelligence?
See how Cogrion helps telecom organizations connect subscriber, plan, usage, billing, consent, KYC, network, campaign, and service data within one governed intelligence layer. Strengthen Subscriber 360, improve profile completeness, predict churn, optimize ARPU, identify network issues, and help teams act before customer and revenue risks increase.