#analytics

What is data governance?

Data governance is the overall management of data availability, relevancy, usability, integrity and security in an enterprise. It helps organizations manage their information knowledge and answer questions, such as:

  • What do we know about our information?
  • Where did this data come from?
  • Does this data adhere to company policies and rules?

Data governance practices provide a holistic approach to managing, improving and leveraging information to help an enterprise's overall data management efficiency.

IBM's data governance solutions let you locate and retrieve information about data objects — their meaning, physical location, characteristics and usage. This helps improve IT productivity, while meeting regulatory and compliance requirements.

See why IBM was recently recognized as a leader in The Forrester Wave: Machine Learning Data Catalogs

Features

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Flexible data governance strategy

With multiple entry points, you can adopt a data governance strategy to suit your organizational objectives, while shaping business information in unique ways that suit your needs.

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Data cataloging

Use machine learning-powered data catalogs to improve the efficiencies of knowledge workers and make the processes of harvesting metadata, curating assets and sharing knowledge efficient.

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Confidence in big data analytics

Obtain clean, consolidated, consistent and current information. Use this information to drive big-data projects and applications, while aligning with governance objectives.

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Privacy and protection

Identify data with meaning; assess data value and risk; secure personally identifiable information (PII), predictive customer intelligence (PCI) and personal health information (PHI); and comply with GDPR.

In the spotlight

IBM Information Governance Catalog and Watson Knowledge Catalog

A unified enterprise data catalog helps improve the efficiencies of knowledge workers by using machine learning to enable them to find information and be productive in their use of data science tools. It brings role-based experiences to business analysts, data scientists, data engineers and data stewards to help them discover and consume data from wherever and whenever they need it. It can make the processes of harvesting metadata, curating assets and sharing knowledge as efficient as possible.

IBM is now combining the capabilities from IBM Information Governance Catalog with the innovative user experiences from IBM Watson® Knowledge Catalog, which is designed for the consumption of metadata for active use in building a unified knowledge catalog for your enterprise.

The IBM solution empowers us to keep our clients’ personal data safe, protecting the company’s reputation and preserving our customers’ trust.

—Han van der Vinden, Test Manager, CZ

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