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.
Data governance solutions from IBM enable 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.
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.
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.
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.
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 IBM Watson Knowledge Catalog
IBM combines capabilities from IBM Information Governance Catalog with innovative user experiences from IBM Watson® Knowledge Catalog designed for metadata consumption to help you build your enterprise’s unified knowledge catalog.