Data Observability
by Ataccama · Data and analytics · Toronto, Canada
Detects anomalies and pipeline issues in data
What Data Observability does
- AI-driven anomaly detection
- Centralized alerts dashboard
- Integrated data lineage analysis Quickly visualize data flows to pinpoint root causes and downstream impacts.
- Smart multi-channel notifications
- Automated data profiling
- Pipeline monitoring
- Integrated issue management
What Data Observability is used for
- Detect pipeline failures before they affect data
- Detect anomalies in data
- Send data issue alerts to chat and email
- Escalate data issues into Jira or ServiceNow
- Trace root causes with data lineage
Who Data Observability is for
- Insurers
About Ataccama
Data trust platform combining data quality, observability, catalog, lineage and master data management.
Ataccama in the vendor registry: its products, features and similar vendors.
Also by Ataccama
- Ataccama ONE: Unified platform for data quality, governance and MDM
- Data Quality: Profiling, rules and monitoring of data quality
- Master Data Management: Mastering of customer, product and reference data
- Data Lineage: Maps how data moves across systems
More in this category: Data and analytics platforms for financial services.
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