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 catalogues 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.
IBM’s InfoSphere® Information Governance Catalogue
An enterprise data catalogue that allows users to create, manage and share a common business language and to find, understand and analyze information
Resources
InfoSphere Information Governance Catalogue
Understand information and foster collaboration between business and IT, establishing a foundation for information integration and governance projects.
The truth about information governance and the cloud
Discover how good hybrid information governance implies several priorities for IT and the business, which are based on four foundational pillars.
Transforming your data governance models for AI
In this webinar, you will learn on how to build a governance model for data and analytics initiatives and infuse intelligence to deliver required business outcomes in a given context.
Gartner Magic Quadrant for Metadata Management Solutions
See how SES has been positioned as a leader in the Gartner Magic Quadrant for Metadata Management Solutions.