AI & Data Governance for Telecom
Master regulatory compliance, tame petabyte-scale network data, govern AI-driven operations, and unlock subscriber insights — all from a single governance platform.
Industry Challenges
Telecom operators face unique governance hurdles driven by scale, regulation, and system complexity.
Regulatory Compliance
GDPR, ePrivacy Directive, and national telecom regulations demand strict consent management, data retention policies, and lawful intercept obligations.
Network Data Volume
Massive CDR, network-event, and IoT telemetry streams require robust data governance at petabyte scale without slowing down operations.
Customer Data Silos
BSS, OSS, CRM, and billing systems create fragmented subscriber views that are difficult to reconcile and govern consistently.
Data Monetisation Risk
Anonymisation and consent controls are critical when sharing or monetising subscriber data with partners, advertisers, or analytics vendors.
AI in Network Operations
AI-driven network optimization, churn prediction, and proactive maintenance models need proper oversight, bias monitoring, and EU AI Act compliance to avoid regulatory and operational risk.
How Qarion Helps
Telecom Data Catalog
Build a unified inventory across BSS, OSS, CDR repositories, and network telemetry systems. Tag PII and sensitive fields, assign ownership, and maintain a complete data map for audit readiness.
Regulatory Mapping
Map datasets to ePrivacy, GDPR, and national telecom regulations. Automate recertification schedules, track retention policies, and maintain audit-ready records of processing activities.
Network Data Quality
Define SLAs for real-time network feeds, CDR pipelines, and subscriber data. Monitor freshness, completeness, and accuracy with automated checks — get alerted before stale data causes outages or reporting gaps.
Subscriber Data Lineage
Trace subscriber data from source systems through transformations to analytics and reports. Understand the downstream impact of schema changes before they break billing or reporting pipelines.
AI Model Governance
Register network-optimization, churn-prediction, and fraud-detection AI models in a centralized inventory. Classify each by EU AI Act risk tier, track risk assessments, and link models back to their training datasets.
Built for the Telecom Stack
Connect the tools telecom operators rely on.
Ready to Govern Telecom Data & AI at Scale?
See how Qarion helps telecom operators govern data and AI models while enabling data-driven innovation.
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