TRUSTED DATA FOR ALWAYS-ON NETWORKS AND LOYAL SUBSCRIBERS
Telecommunications providers rely on trusted data to deliver reliable networks, accurate billing, and exceptional subscriber experiences. Anomalo automatically detects data issues across subscriber, usage, and operational datasets so teams can protect revenue, reduce churn, and operate with confidence.
KEY BENEFITS
Anomalo monitors network telemetry, service performance, and operational data to detect shifts, gaps, and anomalies early to ensure uptime, faster MTTR, and meet SLAs.
Anomalo continuously checks subscriber, usage, and billing datasets for missing records, inconsistencies, and schema changes to protect revenue and customer relationships.
Anomalo ensures customer, plan, and usage data stays complete and consistent across OSS/BSS and analytics systems, helping reduce preventable churn.
Anomalo monitors the data feeding churn prediction, demand forecasting, fraud detection, and network optimization models to ensure reliable forecasts and automation.
Anomalo flags schema changes, anomalies, and PII exposure across operational and customer data, supporting regulatory and privacy requirements.
Massive, fast-moving, and highly regulated data means even small errors can trigger privacy risks, revenue leakage, customer churn, and network performance issues.
in fines on a telecommunications firm due to unnoticed contract changes by vendors, among other data issues
Poor data classification, inaccurate lineage, and lack of data privacy checks expose telecommunications companies to escalating regulatory, reputational, and financial risk.
In telecommunications, billing accuracy depends on complete and reliable usage, rating, and subscriber data. Quality failures erode customer trust, increase disputes, and directly contribute to preventable churn.
of telecom invoices have mistakes and cost businesses an estimated 12-20% in over-spending every month
can be lost per hour for network downtime, according to incident cost benchmarks
Network reliability depends on clean telemetry and accurate OSS/BSS data. When telemetry bursts, schema changes, or missing records go undetected, the consequences cascade across operations.
Telecommunications teams rely on data to run networks, bill accurately, and meet regulatory requirements. Lack of trust slows decision-making, increases operational risk, and forces teams to second-guess critical insights.
of business leaders are confident in the reliability of their data
Trusted data is foundational for reliable networks, accurate billing, regulatory compliance, and consistent subscriber experiences.
Anomalo automatically learns normal patterns in subscriber, usage, billing, network telemetry, and unstructured operational data to catch issues the moment they appear. As services evolve, usage patterns shift, or traffic surges, Anomalo’s AI-driven detection adapts without manual rules, giving telecom teams early visibility into problems that could impact network performance, revenue, or subscriber experience.
From OSS/BSS pipelines to network telemetry and subscriber analytics, Anomalo monitors data quality across every part of the telecom data landscape. Telecom leaders get a trusted foundation for network operations, billing accuracy, and subscriber insights so critical decisions are based on complete, reliable information.
Telecom companies move fast and so does Anomalo.
Native integrations with Snowflake, Databricks, BigQuery, Unity Catalog, and key cataloging and workflow tools like Alation, Jira, ServiceNow, Slack, and more enable teams to monitor critical data in minutes.
Built for the volume and complexity of telecom data, Anomalo monitors thousands of tables, billions of daily records, and petabytes of content without slowing down.
With in-VPC deployment, strict access controls, and compliance with enterprise standards, Anomalo supports the trust, security, and reliability required by global telecom operators.
Our Customers
Learn how leading telecommunications organizations use Anomalo to improve data quality, prevent revenue and service disruptions, and make faster, more confident decisions.