The Knowledge Graph represents a collection of interlinked descriptions of entities – objects, events or concepts. Knowledge graphs put data in context via linking and semantic metadata and this way provide a framework for data integration, unification, analytics and sharing.
The UI platform can go through business process APIs / documents and collate information at a granular level. This can help with Business Process Improvements, transformations and streamlining.
The UI platform can create Data –Lineages for chosen data assets in a quick and seamless manner. Data Lineages are key in root causes analysis and improving data quality.
The UI platform can assist creation of Integrated Metamodels in a quick and seamless manner. Using deep-learning techniques for creating metamodels is an very effective and efficient.
The hierarchical classification of entities of interest to the enterprise, organization or administration, used to classify documents, digital assets and other information. Taxonomies can cover virtually any type of physical or conceptual entities (products, processes, knowledge fields, human groups, etc.) at any level of granularity.
Physical Data Models
A physical data model is generated from the databases, this provides a rich view of the meta-data at the most granular and current levels .