Ataccama Resource hub
Ataccama resources
On this page, get all the Ataccama resources you need, including solution demos and tutorials for your data journey.
Ataccama services by QMetrix
Watch Ataccama in action
Managing Data Quality, end-to-end
Unlike tools that only observe issues, Ataccama manages data quality end-to-end. It finds problems, then acts to fix them autonomously by applying automated rules and remediation workflows to keep data accurate, complete, and fit for use at enterprise scale.
To learn more about how Ataccama delivers data quality at scale, visit Ataccama Data Quality.
Watch how to define and monitor your enterprise data quality
chapter 1
Parsing, cleansing, and standardising data
chapter 2
Import & apply data quality rules in bulk
chapter 3
Detect & fix issues proactively
chapter 4
Data Trust Index
chapter 5
Data quality at scale
How Ataccama powers Data Lineage
Ataccama delivers end-to-end data tracing and visual lineage enriched with data quality insights, business context, and anomaly alerts. Ataccama scans metadata across sources, ETL jobs, and destinations, delivering a visual map of your entire data pipeline, powered by the ONE AI Agent.
To learn more about augmented data lineage, visit Ataccama Data Lineage.
See how to trace your data across flows and systems
demo video
Root-cause analysis with augmented data lineage
Data Observability: No critical issues go undetected
Prove and maintain data trust by eliminating blind spots, and ensure potential issues are recognised before they affect your business. The Ataccama platform provides automated profiling, alerting, and remediation workflows so teams can maintain data trust at scale without relying on manual checks.
To learn more about agentic data observability, visit Ataccama Data Observability.
See how Ataccama can detect, triage, and remediate issues in near real time
demo video
Ataccama agentic data trust explained
Meet the ONE AI Agent: Your digital data steward
Ataccama’s ONE AI Agent brings autonomous, end-to-end task execution to the Ataccama ONE platform. It auto-generates DQ rules, suggests where to apply them, finds anomalies, and executes fixes at the source.
To learn more about the ONE AI Agent, visit Ataccama ONE AI.
Explore ONE AI capabilities
chapter 1
Validating DQ rules
chapter 2
Self-service data preparation
chapter 3
Identifying the right tables
chapter 4
DQ rule generation and application
chapter 5
Closing DG gaps
Reference Data: Managed, validated, and delivered
The ONE AI Agent lets non-technical users create reusable data quality rules in seconds from plain language, simply by describing what checks to enforce at scale, and across systems.
To learn more about reference data management, visit Ataccama Reference Data Management.