What is data cataloging?

A data catalog is essential to build an effective DataOps practice. Data cataloging automates the organization of common and known business vocabulary, offers users self-service management of enterprise data, and helps automate data onboarding.

Data cataloging ensures the data pipeline is tuned to the context of your enterprise and industry with consistent definitions and rules for your data. It supports self-service initiatives and increased data literacy, helping your team make more informed decisions.

Modern, intelligent data cataloging helps organizations create new business models and prepare for the future of AI.

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Data cataloging benefits

Enhance trust and use of data

Track data lineage and contextual asset knowledge to improve trust in your data quality.

Improve regulatory compliance

Automate classification and profiling. Enforce protection rules for sensitive information.

Automate data and AI governance

Develop and manage policies to help protect data and AI models.

IBM Watson Knowledge Catalog

Activate business-ready data for AI and analytics with an intelligent data catalog backed by active metadata and policy management.

Related products

IBM Cloud Pak for Data

Accelerate your journey to AI with IBM Cloud Pak® for Data. Extensible, open and runs on any cloud.

IBM Watson Knowledge Catalog Instascan

Find your unstructured data hot spots. Reduce time for collecting compliance data.

IBM Knowledge Accelerators

Align concepts from industry regulations and standards with your business data to accelerate regulatory compliance.

Data cataloging resources

Tackle data privacy

Data breaches have far-reaching consequences. Plan ahead with a data catalog.

Deliver business-ready data

IBM Watson® Knowledge Catalog uses a machine learning-powered platform to help with data lake challenges.

Gartner Magic Quadrant

The data catalog from IBM is named as a Leader in the 2020 Gartner Magic Quadrant for Data Quality Solutions.