TRUSTED DATA FOR PRODUCTS YOUR CUSTOMERS DEPEND ON
Enterprise Data Quality for Data Providers
Data providers rely on trusted data to deliver reliable products, meet SLAs, and maintain customer trust at scale. Anomalo automatically detects data issues across on-premises and cloud data platforms to help teams protect revenue, reduce customer escalations, and operate with confidence.
Trusted by Industry Leaders
KEY BENEFITS
Trusted Data for Every Dataset, Every Customer, Every Delivery
Deliver Reliable Data Products at Scale
Anomalo monitors data quality across your data estate to catch issues before they reach customers. Ship datasets with confidence, without manual validation.
Protect Revenue and Meet SLAs
Detect missing records, schema changes, freshness issues, and distribution shifts that can break SLAs. Prevent costly credits, rework, and churn by catching issues early.
Reduce Customer Escalations and Support Burden
Identify data issues before customers do. Anomalo helps teams move from reactive firefighting to proactive quality assurance.
Ensure Downstream Analytics and AI Readiness
Anomalo monitors the quality of datasets for customer analytics, apps, and AI models. This prevents silent failures that degrade downstream insights, forecasts, and automated decisions.
Gain Visibility Across the Entire Data Supply Chain
Anomalo provides end-to-end visibility into data health across sources and customer-facing outputs. Root cause analysis pinpoints the source of issues so they can be resolved quickly and confidently.
Why Data Quality Is Essential for Data Providers
Data providers operate at massive scale under strict regulatory and contractual pressure, where even minor data issues can cascade into compliance risk, lost revenue, and eroded customer trust.
75%
of executives don’t trust their data
Lack of Trust Limits Data Product Adoption
Data providers succeed or fail on trust, yet 75% of executives say they don’t trust their data. When customers question accuracy, freshness, or consistency, data products go underutilized, putting renewals, expansion, and long-term revenue at risk.
Stale Data Drives Incorrect Decisions and Revenue Loss
Data providers operate rapidly changing data sets where freshness is critical to customer decisions. When data becomes stale, downstream analytics and applications suffer.
85%
of ERP professionals say stale data is leading to incorrect decisions and lost revenue
$406M
is lost annually by organizations with an average global annual revenue of $5.6 billion that trained models on inaccurate, incomplete and low-quality data
Poor Data Quality Undermines AI and Customer Outcomes
Data providers increasingly power customer analytics and AI models, but inaccurate, incomplete, or low-quality data can have massive downstream consequences.
Data Quality Boosts Data Product Value
Data providers power analytics, applications, and AI for customers, and consistent quality and reliable data build trust and boost impact. Organizations with AI-ready data see up to a 20% improvement in business outcomes.
20%
improvement in business outcomes with AI-ready data
Protect Revenue, Meet SLAs, and Advance AI Initiatives with Confidence
Trusted data is foundational for delivering reliable data products, meeting customer SLAs, supporting downstream analytics and AI, and maintaining customer trust at scale.
AI-Native Monitoring that Adapts to Your Data Products
Anomalo automatically learns normal patterns across sources, data assets, and unstructured data to detect issues the moment they appear. As data products evolve, schemas change, or volumes spike, Anomalo’s AI-driven detection adapts without manual rules, giving data provider teams early visibility into issues before they impact customers, SLAs, or downstream use cases.
Unlock Confidence Across the Entire Data Supply Chain
From third-party data sources to customer-facing datasets, Anomalo monitors data quality across the full data provider landscape. Leaders gain a trusted foundation of complete and reliable information for product consistency, SLA performance, and customer trust.
Seamless Integration with Your Data Ecosystem
Data provider 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 products in minutes.
Proven Scale and Enterprise-Grade Trust
Built for the volume and complexity of modern data providers, 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 data provider operators.
Our Customers
What Customers Say
Build Reliable, Revenue-Ready Data Products
Learn how leading data providers use Anomalo to improve data quality, protect revenue, and deliver reliable data products with confidence.