Data governance
Create a governed data foundation to accelerate data outcomes and address privacy and compliance requirements
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IBM named a Leader in the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
How IBM data governance is used
Data quality Address data quality issues Analyze statistics and data quality scores for data assets visually and enable data stewards to curate high-quality data with AI-driven rules. Watch the demo data quality (1:13)

Data privacy Address data privacy and compliance Identify sensitive data and enforce data protection rules dynamically to reduce risk of regulatory violations with role-based access controls. Watch the demo data privacy (00:57)

Data catalog Manage data products Simplify data stewardship tasks with metadata management, streamline self-service data access and manage data product lifecycles. Watch the demo data catalog (1:24)
Demo: IBM Data governance in action
Benefits of IBM data governance tools Use these tools within IBM Cloud Pak for Data to build your data governance program with a data fabric architecture. Simplify self-service data access

Enable data consumers to quickly find, prepare and use governed data with robust search methods and semantic intelligence.

Drive consistent data understanding

Improve data discovery and consistent interpretation with a data catalog that supports extensible business glossary, reference data and classifications.

Manage policies and rules

Simplify data policy management with workflows, address regulatory compliance, promote audit readiness and maintain customer trust.

Automate data privacy and data security

Identify sensitive data like PII and enforce data access controls dynamically across key endpoints within and outside the IBM platform.

Improve data quality

Address quality issues with capabilities for data profiling, cleansing, monitoring, matching and automation of data enrichment.

Capabilities of IBM data governance tools Advanced data discovery

Find relevant enterprise data assets based on intelligent recommendations from IBM Watson® and peers.

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Metadata enrichment

Enrich data with context by automatically assigning classifications and terms from a business glossary to assets within a data catalog.

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Data quality

Automate data profiling to assign data quality scores and improve curation through data quality rules powered by machine learning.

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Manage data policies

Protect data, manage compliance with active policy management. Use workflows to create desired review, approval and publication processes.

Learn more (4:29)
Manage data products lifecycle

Organize data assets, dashboards, machine learning models within a data catalog that simplifies self-service access to high-quality data.

Watch the video (3:45)
Advanced data privacy

Identify sensitive data and dynamically enforce data security and protection with capabilities to automatically mask and protect data.

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Data privacy risk assessment

Conduct automated privacy risk assessments on your data assets and obtain recommendations to mitigate the identified risks.

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Data lineage

Gain visibility into the provenance of data and how data is moved, transformed and consumed across applications and data sources with data lineage.

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360-degree views of enterprise data

Find, match and identify relationships across data sources with master data management for automated data matching and entity resolution.

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More data governance case studies Danske Bank

Curate, clean and secure data in an agile way with data governance tools.

Standard Bank Group

A data governance framework for a disparate data estate.

The Wilson Center

Streamlining access to clean, governed data for AI to track and reduce marine litter.

Data governance tools
IBM Knowledge Catalog

Activate enterprise data for AI and analytics with a data catalog, backed by active metadata management and policy management. 

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IBM Data Virtualization

Execute distributed and virtualized queries across a disparate data landscape and overcome data silos with this universal query engine for data integration.

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IBM Data Privacy Risk Assessment

Automate data privacy risk analysis by purchasing an add-on that supports frictionless standardized privacy risk assessments.

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IBM Match 360

Consolidate data sets from disparate data sources to provide a 360-degree view of entities with ML-powered and master data management.

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News and events IBM Cloud Pak for Data 4.8 now available

Version 4.8 of IBM Cloud Pak for Data is now available. Check out what's new.

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2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions

Discover why IBM is named a Leader for the 17th time in a row in the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.

Read the Gartner report
IBM named Leader in Forrester Data Fabric Wave, Q2 2022 report

See why IBM is named a leader in enterprise data fabric solutions thanks to data governance and privacy.

Read the blog
Resources Data quality webinar

Watch the on-demand webinar to learn about the top four data quality capabilities for a modern data architecture.

The Data Differentiator: A guide for data leaders

Explore the strategic steps to design and implement a data management and data governance strategy that drives business advantage.

Forrester Total Economic Impact report

Learn how IBM Cloud Pak for Data and IBM Watson Knowledge Catalog services are creating up to 158% ROI for your peers.

Deployment options

Choose the solution that best suits your needs.

Data Governance on IBM Cloud Pak for Data as a Service

Build a governed data foundation with a data fabric architecture in the cloud, fully managed by IBM.

Data Governance Express on IBM Cloud Pak for Data Software

On-premises customers, quickly build a governed data foundation with a data fabric architecture using our express solutions.

Take the next step

Get started with a free trial of IBM Cloud Pak for Data or book a consultation with an IBM expert to discuss how it can advance your specific business needs.

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