EIIG automates the identification of golden / certified data sources, thus helps drive and control their usage in cases such as new application development.
It can enable metadata discovery to shortlist authoritative data sources for a given data category.
It answers questions such as Where is the data? What is most used / valuable? Where does it originate from? Is there any duplicated data?
EIIG also leverages data profiling to validate the quality of the data source and narrows down the shortlist.
Customers now can improve their plans to clean-up/minimize, migrate, and decommission non preferred data flows.
Recent Posts
- Understanding Active Metadata: Enhancing Data Management and Decision-Making Introduction
- EIIG’s Self-Defined Data Fabric and the Alignment with COBIT 5’s Five Principles
- How to Ensure Accurate and Trustworthy Reporting from Mainframe Data with Self-defined Data Fabric
- What is Metadata? A Brief Introduction to Metadata and Metadata Management
- Understanding Data Catalogs: The Key to Efficient Data Management