Prove and maintain
data trust in every
critical AI initiative
Data Trust breaks in motion. Now you can detect, triage, and remediate issues before there’s any downstream impact to the business and strategic AI initiatives.
When you lose trust in your data,
you lose trust in your decisions
If data observability runs without data quality and business
context, you’ll spend days chasing symptoms rather than making
quick, relevant changes that impact critical business initiatives.
Reduce complexity with
ONE agentic platform
Get control over data quality at rest and in motion
Ataccama Data Observability extends the power of our market-leading data quality capabilities by providing out-of-the-box coverage across your entire data estate. Comprehensive and automated, it gives you a base level of monitoring that allows you to focus data quality efforts where they matter most.
Deliver accurate insights with AI-ready data
Seamlessly integrated within Ataccama ONE, observability enhances the accuracy, consistency, and reliability of your data. This complementary approach ensures robust and trustworthy data for improved AI outcomes, business intelligence, and compliance efforts.
Streamline compliance, reduce risk, avoid penalties
By combining observability with lineage and catalog you get a governance context that connects incidents to business processes, critical reports, and owned data products. The “blast radius” isn’t a guess anymore; it’s visible, explainable, and preventable
Actionable alerts with faster impact analysis
Ataccama’s automated anomaly detection, combined with clear, context-rich alerts, dramatically reduces manual intervention and the operational overhead of data issue management. Teams spend less time firefighting and more time focused on value-generating activities.
Experience
the Ataccama difference
Stronger data initiatives
with improved business outcomes
management processes
in the first 3 years
Estimate the potential ROI of Ataccama with our calculator.
Prove the value of your data in minutes.
Make sure no critical issues go undetected
Ataccama Data Observability follows a clearly defined set of capabilities,
making sure you can tackle important use cases
Detect
Ataccama Data Observability continuously tracks and validates the health of your data assets and pipelines, proactively identifying quality deviations and unexpected data behaviors. Eliminate blind spots and ensure potential issues are recognized before they affect your business.
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Automated data profiling
Quickly identify data domains, sensitive data (e.g., PII), and generate comprehensive quality metrics.
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Pipeline monitoring
Detect pipeline failures upstream of critical data assets and maintain data integrity.
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AI-driven anomaly detection
Proactively identify anomalies in your data, extending your coverage beyond known issues and data quality rules.
Triage
Streamline your issue response and prioritize effectively with unified alerts across data quality and observability. Quickly assess impact, assign control, and act decisively to minimize disruptions.
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Smart multi-channel notifications
Instant notifications through Slack, MS Teams, and email for rapid issue awareness and response.
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Centralized alerts dashboard
Intuitive, centralized views for quick prioritization and management of data health issues.
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Integrated issue management
Escalate alerts into Jira or ServiceNow to manage fixing the pipeline or remediating the data.
Remediate
Quickly diagnose and resolve data quality issues with deep insights into what causes the most impact on the business. Simplify investigations, reduce downtime, and restore your data assets to a trustworthy state.
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Integrated data lineage analysis
Quickly visualize data flows to pinpoint root causes and downstream impacts.
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Detailed anomaly insights
Rich context and interactive exploration of data issues for effective investigation.
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Actionable remediation guidance
Clear recommendations integrated with Ataccama Data Quality for swift issue resolution.
Data trust is bigger than observability,
change requires a unified approach
Deep data
quality synergy
Works with our data quality module and is enhanced with granular quality insights, proactive (out-of-the-box) monitoring, and precise anomaly detection.
Unified data
trust platform
Natively built, our data observability module uses the same metadata, rules, and governance frameworks as the data quality, lineage, and catalog modules.
Intuitive, no-code
configuration
With a user-friendly interface, it empowers data stewards and business users to participate in observability workflows.
Operational workflow
(not just dashboards)
Unified alerting, notifications, and issue management help you route, track, and quickly resolve incidents. Teams can focus quality efforts where they matter most.
Trusted by users and analysts alike
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One solution with one interface for 3 interoperable modules for reference data management, master data manatement and for data quality.
John Reimers Master data program manager, Marti Group -
With Snowflake and Ataccama, Judo Bank can deliver cleaner data faster, with improved visibility into data quality and usage.
Thomas Janssen Head of Data Architecture & Governance, Judo Bank -
If we can’t trust our customer data, we are not able to do any growth initiatives and communicate effectively with our clients.
Chantale Boulanger Director, Industrial Alliance -
Bringing business and IT teams together to create a digital factory of trusted data.
Piotr Pietrzyk Head of Data Governance, Avon -
Scaling data management initiatives across the organization, unlocking further growth and innovation.
Michelle Sklar IT Governance Principal, Fifth Third Bank
Discover practical use cases
Explore how can our data observability solution address your specific business needs.
Tailored for your industry
Learn how businesses in your industry are leveraging Ataccama ONE Data Observability for success.
5-time Leader, with the furthest vision
Ataccama positioned as a Leader in the 2026 Gartner® Magic Quadrant™
for Augmented Data Quality Solutions for 5th consecutive time.
FAQ
A data observability platform is software that continuously monitors data pipelines and assets across your entire data estate, detecting anomalies, quality deviations, and pipeline failures before they cause downstream impact. It provides automated profiling, alerting, and remediation workflows so teams can maintain data trust at scale without relying on manual checks.
Ataccama Data Observability extends market-leading data quality capabilities with out-of-the-box monitoring coverage across your data estate. By unifying observability with data quality, lineage, and governance in a single platform, it reduces complexity, accelerates issue resolution, and ensures trusted data for analytics, reporting, and AI initiatives.
Data observability monitors data in motion across pipelines and systems, while data quality validates and remediates data at rest. Ataccama combines both in one platform, sharing the same metadata, rules, and governance frameworks. This means issues detected through observability can be resolved directly through integrated data quality workflows rather than requiring separate tools.
The platform uses AI-driven anomaly detection to identify issues proactively, often before they reach downstream systems. Centralized alerts through Slack, Microsoft Teams, or email enable rapid triage, and integrated issue management with Jira and ServiceNow streamlines remediation. Combined with data lineage analysis, teams can pinpoint root causes and restore trust quickly.
Organizations use data observability tools to protect AI and analytics pipelines from flawed data, ensure regulatory reporting accuracy, and maintain trust across Customer 360 and financial data systems. Common scenarios include monitoring pipeline health, detecting schema drift, identifying anomalous data patterns, and verifying data freshness across distributed environments.
Industries managing large data volumes across complex pipelines benefit most. Financial services, insurance, and manufacturing organizations use data observability solutions to maintain data trust, meet compliance requirements, and support reliable analytics across distributed data environments.