erwin Data Governance provides an intuitive, customizable, web-based interface that allows both business and technical users across the organization to collaboratively define and integrate data governance constructs into their enterprise data architecture.
Key Features Include:
erwin Data Governance provides an ISO 11179 based business glossary to capture, define, maintain and implement an enterprise business glossary of terminology, data definitions, code sets, domains, validation rules, etc.
Graphical impact and lineage analysis
Graphically view the inter-relationships between data elements to analyze semantic and/or dataflow lineage and better assess the impact of change.
Universal Data Model Harvesting
Import and integrate other vendor’s current and legacy data models.
Semantic and dataflow mapping
Facilitates the drag and drop connection of design-layer metadata from business glossary through conceptual to logical and physical data models as well as data flow mappings between data stores and data elements.
“High Fidelity” diagram visualization
View graphical model diagrams in various formats (including IE, IDEF and UML).
Metadata search and browse capability
Drill-down capabilities allow you to see textual metadata details to uncover definitions, data structures and more.
Live metadata harvesting of data stores
Connects directly to databases, Big Data and Cloud data sources which can then be documented and mapped in real-time over the Web using the Data Documenter and Data Mapper.
Model configurations and metadata lifecycle management
Enables organizations to maintain multiple model configurations, automate model harvesting and manage versions of the model metadata.
Building on a foundation of visual and comprehensive erwin data models, organizations can author and deploy business glossaries, define semantic and data flow lineages, standardize and document data sources and enable self-service data discovery in support of their enterprise data governance program.