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IBM Watson Knowledge Catalog empowers organizations to take control of their data while activating AI and analytics across the enterprise. With smart cataloging, seamless data governance, and intelligent policy management, Watson Knowledge Catalog ensures consistent data quality, security, and performance—making it the perfect solution for DataOps practices.
Leading enterprises from a range of industries have trusted IBM Watson Knowledge Catalog to streamline their data management processes. By enhancing collaboration and promoting data quality, these organizations have seen marked improvements in their AI initiatives and business intelligence efforts. Join top companies in the quest for optimized data governance.
IBM Watson Knowledge Catalog is a metadata management and data governance tool that allows organizations to discover, curate, categorize, and govern data assets across hybrid cloud environments.
The catalog automates data classification and uses AI-powered recommendations to surface high-quality, trusted data assets, reducing search time and improving data usability for analytics.
Absolutely. It provides robust policy enforcement, including role-based access control, data masking, and approval workflows to ensure data is accessed securely and in compliance with internal rules.
Metadata enrichment involves automatically tagging data assets with context such as sensitivity, ownership, and relationships. This is done via AI-driven scanning and lineage tracing, boosting data quality and governance.
The catalog aids in compliance with standards like GDPR and CCPA by allowing organizations to manage sensitive data, apply consent policies, and track data lineage for auditing purposes.
Yes, teams can annotate datasets, assign stewards, share curated assets, and track usage metrics. This drives a data-first culture across departments.
Watson Knowledge Catalog supports structured, semi-structured, and unstructured data across on-premise, cloud, and SaaS platforms, including Db2, Snowflake, BigQuery, Amazon S3, and more.
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