Adaptive Metadata Manager™
 
Adaptive Metadata Manager™ (MM) is a web-based repository that is designed for use in metadata management and provides the capability to capture the data definitions from data modeling tools, relational databases, XML Schemas, COBOL copybooks, and other sources, and the detail of the transformations that occurred – for example loaded from definitions in extract-transform-load (ETL) tools.

The metadata captured from all these sources is managed in a role-based environment that provides each metadata role (data modeler, report developer, business user, data steward …) with exactly the capabilities and access privileges that are appropriate for their needs. Adaptive MM facilitates governance, compliance and transparency of the metadata management process. It is used to:

Manage a large amount of disparate technical and business metadata, providing different end-to-end views to a variety of user roles Collaborate on updating and managing the information, facilitate re-use, and manage change, especially through future planning of different scenarios and timescales Construct end-to-end visualizations of the information flows from any point (e.g. origin, final report, any intermediate point), in a form suitable for both business and technical users