Nowadays, the mass of information handled by companies is so voluminous that the classification of data and their proper understanding become challenges in their own right, especially when it comes to integrating new employees or ensuring the smooth running of teams. Therefore, it is necessary to set up a business glossary, a unique knowledge base, to which each employee can refer to discover, understand and integrate the concerns related to the data in circulation in the structure, in the department or in the company in the broad sense.
DEMS Verbatim, the business glossary of GDE, is a multilingual business semantic glossary. Its main advantage is its ability to link the human semantics to the physical data model taking into consideration the context of usage. The overall goal of the semantic data model is to capture more meaning of data by integrating relational concept with more powerful abstraction concept known from the artificial intelligence field. It helps users understand the business language and the business meaning of data. By delivering accessible and trustworthy data, the business semantic glossary helps users to search, understand, trust and use data to support your business. It allows you to find your data easily without meeting conflicting meanings. The business semantic glossary provides data users with a dynamic semantic mapping view of all the business terms that displays all the business terms along with their related data, metadata, and data lineage.
Embedding contextual intelligence, the data catalog automatically provides context, data lineage and semantic meaning. It defines the relationships between the business terms and their metadata to sharpen decision-making and actions.
It goes beyond standard data catalogs by providing the ability to associate relationships (semantic operational or functional) with a direct link to the physical database (metadata). Additionally, it provides a synchronization module to ensure to be always aligned with metadata from the different information systems.
DEMS Verbatim allows to establish a complete and meaning full governance by providing flexible and configurable governance roles and by allowing stewardship assignment at any level (glossaries, contexts, terms, …).
Based on the roles and responsibilities DEMS Verbatim will automatically build your governance community and will allow you to manage, collabore, share and align on the signification and the usage of the data. The glossary becomes an environment of sharing and collaboration thanks to its enterprise social network functionalities.
DEMS Verbatim integrates global search capabilities that easily allows users to search for business terms, definitions, technical metadata… users can type a keyword and the system will look for context specific results. Optionally, you can get advantage of the natural language interrogation capabilities.
As soon as you connect the glossary to your databases, it will generate a dynamic semantic data model. This will automate traceability in the form of a semantic mapping that displays relationships to terms within a specific context. People can have a view of all business terms and related data. They can easily view variations, meanings, relationships, and business metadata. You can generate semantic models linking your natural language terms to your database terms including relationships. The overall goal of a semantic mapping data model is to map natural language semantic data model to the physical database data model that will enable high level of automation and artificial intelligence optimization.