INTEGRATED DATA GOVERNANCE USING TRUE KNOWLEDGE GRAPH TECHNOLOGY
Integrated data governance using true knowledge graph technologies is better enabled and can connect metadata silos
Introducing a New Type of Agile Data Governance
Data Governance supported by knowledge graphs makes it easier for companies to reconcile data from different sources by compiling and organizing information about that data – its metadata. Semantic knowledge graphs can support metadata and data schema with the same standards-based representation used to describe the data itself.
In this standardized environment, data stewards can readily create new connections and relationships between data and the additional information needed to describe it, document its uses, sources, and so on. They are given direct access and flexibility to capture and preserve the true meaning behind their data.
With TopQuadrant’s semantic standards-based approach to Data Governance, your enterprise can:
Catalog all assets and create critical mappings
Connect all data assets for increased visibility and agile responsiveness to new data requirements
Collaborate with all data stakeholders to improve the quality and consistency of data
Curate data and metadata to enhance access to all relevant information and use it more intelligently
Learn more about TopQuadrant’s Semantic Data Governance
WEBINAR: DATA GOVERNANCE FOR THE CONNECTED ENTERPRISE - TOPBRAID EDG IN ACTION
BLOG POST: HOW DOES SHACL SUPPORT DATA GOVERNANCE?
WHITE PAPER: BUILDING BRIDGES TO BUSINESS CONTEXT IS ESSENTIAL TO DATA GOVERNANCE
Learn the characteristics that enable knowledge graphs to capture data as a set of information that bridges enterprise metadata silos.