TRUSTED DATA FOR EXPERIENCES THAT DEFINE YOUR BRAND
Enterprise Data Quality for Communications, Media and Entertainment
From personalized recommendations to precision ad targeting and seamless 5G experiences, every interaction depends on trusted data. Yet fragmented systems, legacy tools, and messy metadata make it hard to maintain that trust, putting revenue, ad spend, and customer loyalty at risk.
Anomalo helps leaders modernize their data foundations by automatically detecting and resolving data issues before they impact customers or operations. With AI-native monitoring across structured and unstructured data, Anomalo ensures every stream, ad, and connection is powered by reliable, high-quality data.
Trusted by Industry Leaders
Key Benefits
Trusted Data for Every Customer, Every Campaign, Every Connection
Improve Customer Retention With Personalization that Works
Anomalo monitors customer, behavioral, and content data for gaps and drift across streaming, operations support and business support systems, and marketing systems, preventing data failures that erode customer engagement and loyalty.
Improve Network and Field Operations With Dependable Operational Data
Anomalo detects drift and anomalies in network logs and service data early, preventing incorrect alerts or decisions that would impact uptime and service quality.
Strengthen AI and GenAI Performance with Clean Training Data
Automatically monitor structured and unstructured sources for distribution shifts, missing segments, and incorrect values so AI models learn and operate on consistent data.
Reduce Compliance Risk Through Verifiable Data Quality
Anomalo flags anomalies, PII exposure, and harmful content in customer and operational data, providing context needed to show how issues were detected and addressed.
Minimize Operational Cost by Eliminating Manual Data QA
Automate profiling, anomaly detection, root-cause analysis, ticketing, and alert routing to reduce manual investigation across network engineering, data engineering, ad ops, and analytics teams.
Protect Revenue Across Network, Ad, and Subscriber Data
Automatically detect missing impressions, invalid campaign metadata, subscriber mismatches, corrupted call detail records, and anomalies in ad delivery metrics to protect revenue and ensure accurate billing and attribution.
Why Data Quality Is Essential for Communications, Media and Entertainment
Massive, fast-moving, highly regulated data means that even small errors can trigger privacy risks, customer churn, and breakdowns in content, advertising, and network performance.
$100M+
in fines and settlements collectively paid by global communications, media and entertainment firms for improper handling of consumer data, children’s data, location tracking, and advertising privacy violations
Data Privacy Failures Lead to Massive Fines and Executive-Level Scrutiny
Poor data classification, inaccurate lineage, and lack of data privacy checks expose communications, media and entertainment companies to escalating regulatory, reputational, and financial risk.
Poor Data Quality Directly Drives Customer Churn
Communications and streaming churn is heavily influenced by the accuracy of customer, network, and behavioral data. Low-quality data is now one of the strongest drivers of customer experience challenges and churn.
54%
of streamers say recommendations are simply promoting the newest shows, regardless of their viewing preferences
$5M
is lost per hour in communication, media and entertainment for network downtime, according to incident cost benchmarks
Network Downtime and Telemetry Errors Cost Millions
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.
Ad Waste and Measurement Inconsistency Erode Monetization
Communications and media firms generate billions in ad revenue across cable TV, streaming, mobile apps, and digital properties, but measurement fragmentation and broken attribution pipelines cause enormous waste.
74%
of consumers prefer ads that match the content they’re viewing, making contextual advertising highly dependent on accurate metadata, classification, and content tagging
Reduce Churn, Protect Revenue, and Advance AI Initiatives with Confidence
Trusted data is foundational for accurate personalization, reliable ad reporting, regulatory compliance, network integrity, and customer trust.
AI-Native Monitoring that Adapts to Your Business
Anomalo automatically learns the normal patterns of each dataset, such as network seasonality, event spikes for sports and premieres, regional usage surges, advertising cycles, and device and platform trends. Anomalo detects issues before they reach dashboards, customers, or advertisers.
Go Beyond Metadata to Deep Data Understanding
Anomalo performs full-table, full-column scanning to uncover sudden drops in content segments or device types, duplicate subscriber or event records, schema drift across ad-server or OSS/BSS feeds, broken impression logs, and abnormal patterns in network KPIs.
SHAP-based explainable ML pinpoints what changed, where, and why—accelerating triage and reducing MTTD and MTTR.
Flexible, Telecom- and Media-Ready Integrations
Communications, media and entertainment companies rely on complex, multi-system data environments.
Anomalo supports major health data platforms, including
BigQuery, Databricks, Oracle, Redshift, Snowflake, Synapse, ingestion pipelines, adtech and CRM streams, and workflow tools such as Jira, Microsoft Teams, ServiceNow, and Slack.
Proven Scale and Enterprise-Grade Trust
Anomalo powers data quality for some of the world’s most demanding enterprises, monitoring thousands of tables, hundreds of thousands of columns, and petabytes of data.
SOC 2 Type II certification and compliance support your organization’s governance standards. In-VPC deployment means data never leaves your systems. Sophisticated role-based access control (RBAC) capabilities enhance your security posture.
Our Customers
What Customers Say
“We realized that, without a solid foundation of data quality, our other initiatives would falter. That’s why automating data quality became a cornerstone of our transformation.”
Matt Crawley
Chief Data Officer
“Anomalo with Google BigQuery gives us more confidence and trust in our data so we can make decisions faster and mature BuzzFeed Inc.’s data operation. Anomalo automatically detects data quality and availability issues, and helps us get to the bottom of problems before stakeholders and data users across the company are even aware of them. It is a great place to be as a data team, moving from a reactive to a proactive mode of operation, powered by the combination of BigQuery and Anomalo.”
Gilad Lotan
Head of Data Science and Analytics
Boost Monetization, Quality of Service, and AI Performance With Clean, Reliable Data
Learn how leading telcos, streaming services, and media companies ensure trustworthy data across ad operations, subscriber management, content analytics, network health, and AI/ML pipelines.