Find data in context to help you deliver results

Reliance on manual processes, low enterprise-wide data literacy, and the continuous growth of data volumes, types and sources may be hindering your data and AI initiatives. A DataOps practice that delivers continuous, high-quality trusted enterprise data and enables collaboration across your business can position you to drive agility, speed and new initiatives at scale.

Central to the practice is a data catalog tool with automated organization and onboarding of content, consistent definitions and self-service management of enterprise data. Learn about the capabilities of IBM Watson® Knowledge Catalog.

How it’s used

Improve data quality

Data quality analysis

Measure data quality using 11 dimensions out of the box. Customize across every value of every row of every record to reflect a column's quality for your business and compliance.

Data lineage

Track where data originated and how it’s consumed, increasing trust when accessing data across many sources and destinations.

Reference data management

Standardize common values used across applications. A drag-and-drop feature simplifies mapping columns from .csv files to the reference dataset's code, values and description fields.

Manage data privacy and compliance

Policy management and enforcement

Create policies to describe how sensitive data needs to be handled. Automate across the business through data protection, data quality and automation rules.

Intelligent file analysis

Manage regulatory compliance and data governance more efficiently through risk assessments of unstructured data, remediation recommendations and audit-ready compliance checks.

Govern data lakes

Business glossary

Use the glossary to support term hierarchies, synonyms, relationships with technical metadata, and any other custom attributes and relationships.

Automated metadata generation

Reduce manual data annotations with built-in data discovery algorithms that use machine learning to automatically classify the contents of each data set.

Automated discovery

Streamline the process of finding, importing, analyzing and cataloging new data from different sources with automated data discovery.

Enable self-service


Allow data stewards to create, update, review and approve assets, while providing domain expertise to keep users informed of progress.

Role-based catalog

Surface business-ready data for analysts to find what they need from all databases or applications and search based on their specific context.

As-a-service availability

Allow users to easily access profiling, glossary, governance and policy enforcement.

Try IBM Watson Knowledge Catalog

Activate business-ready data for AI and analytics with intelligent cataloging.