Welcome to Data Quality & Catalog
Ataccama ONE Data Quality & Catalog unifies Data Quality, Data Catalog, and Data Observability into a single, AI-augmented platform across on-premise, hybrid, and cloud environments.
Ataccama ONE is divided into five core sections:
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Knowledge Catalog — Connect your sources to build and govern your data catalog. Browse your connections, run domain detection, profiling or DQ evaluation, check for anomalies, view term suggestions, explore lineage, or export data.
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Business Glossary — Use Business Glossary to manage terms and their hierarchies. Terms help categorize your data and are a key aspect of data quality evaluation, as data quality rules are applied to terms.
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Data Quality — Evaluate the quality of your data to discover issues in your dataset and ensure data accuracy, credibility, and consistency. This is where you manage and create data quality and detection rules and configure and run monitoring projects, reconciliation projects, and transformation plans.
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Data Observability — Set up continual observation of selected data sources and items to better understand your data. You are alerted when an item requires attention due to schema changes or issues with structure, freshness, anomalous values, or record volume, or when new terms are detected.
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ONE Data — Create, configure, and maintain reference data and remediate and fix errors in data directly from ONE. ONE Data also integrates with other ONE features, such as data processing and DQ evaluation capabilities, collaboration and reporting options, and more.
Additionally, leverage Data Stories, a business intelligence tool that allows you to create data visualizations and present complex data to your audience in an attractive and accessible way.
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