DATA AUDITING
Organization
MetaLibrary™ provides a common platform and user interface to integrate, manage, and share metadata across a business enterprise. Metadata is data that provides information about other data. Metadata replaces old-school business requirements and documentation. The frontend web application is a razor thin-client application that is 100% device independent. The ability to manage and browse metadata from any device is a game changer. The web application integrates the individual MetaLibrary™ components: Repository, Explorer, and Publisher.
DATA AUDITING
Domain
MetaLibrary™ Repository is the actual underlying database where the metadata is physically stored. The database is compatible with all DBMS and OS platforms. A built-in universal management API supports both online and batch processes. Standard native SQL support provides seemless integration with external tools and software.
DATA AUDITING
Data Analytics
MetaLibrary™ Explorer leverages AI to perform traditional data analysis and mining. The toolset is compatible with all data formats, data protocols, web services, and DBMS platforms. Data formats and platforms are automatically recognized, and the structure and semantics of data sources are dynamically extracted directly into the metadata registry.
DATA AUDITING
Metadata
MetaLibrary™ Explorer leverages AI to perform traditional data analysis and mining. The toolset is compatible with all data formats, data protocols, web services, and DBMS platforms. Data formats and platforms are automatically recognized, and the structure and semantics of data sources are dynamically extracted directly into the metadata registry.
DATA AUDITING
Governance
MetaLibrary™ Explorer leverages AI to perform traditional data analysis and mining. The toolset is compatible with all data formats, data protocols, web services, and DBMS platforms. Data formats and platforms are automatically recognized, and the structure and semantics of data sources are dynamically extracted directly into the metadata registry.
DATA AUDITING
Analytics
MetaLibrary™ Publisher leverages AI to automatically recognize, synchronize, and communicate metadata changes across the enterprise. Change control processes synchronize communication according to data governance. Data integration processes synchronize metadata residing in different products and data platforms to provide a consistent view of the underlying data. Business requirements and other documentation are automatically regenerated to reflect metadata changes.
DATA AUDITING
Security
MetaLibrary™ Publisher leverages AI to automatically recognize, synchronize, and communicate metadata changes across the enterprise. Change control processes synchronize communication according to data governance. Data integration processes synchronize metadata residing in different products and data platforms to provide a consistent view of the underlying data. Business requirements and other documentation are automatically regenerated to reflect metadata changes.
