Enterprise data modelling or enterprise data modeling (EDM) is the practice of creating a graphical model of the data used by an enterprise or company...

processes. Enterprise modelling is the process of building models of whole or part of an enterprise with process models, data models, resource models and/or...

Algebra to Enterprise Modelling and Ontologies - a Historical Perspective on Modelling for Information Systems". In: Conceptual Modelling in Information...

Comparison of data modeling tools Data (computer science) Data dictionary Document modeling Enterprise data modelling Entity Data Model Information management...

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is...

Tools claiming to support enterprise modelling exist in very large numbers, but the support is rather marginal, especially if models are to be used by the...

put to use in data systems and in organizations. Data is usually one of several architecture domains that form the pillars of an enterprise architecture...

"cleansed". A data vault enterprise data warehouse provides both; a single version of facts and a single source of truth. The modeling method is designed...

point-to-point canonical data model, an enterprise design pattern which provides common data naming, definition and values within a generalized data framework. Advantages...

of semantic modelling techniques resulted in the semantic data models of the second kind. An example of such is the semantic data model that is standardised...

source enterprise resource planning system which provides a common data model Canonical model Data Reference Model, one of five reference models of the...

erwin released its Data Modeler NoSQL, an enterprise-class data modeling solution for MongoDB. In April 2018, NoSQL data modeling support for Couchbase...

comparison of data modeling tools which are notable, including standalone, conventional data modeling tools and modeling tools supporting data modeling as part...

standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the...

name Enterprise Modelling Methodology/Open Distributed Processing (EMM/ODP). EMM/ODP proposed some new techniques and method extensions for enterprise modelling...

A geographic data model, geospatial data model, or simply data model in the context of geographic information systems, is a mathematical and digital structure...

for use in data warehouse design.: 1258–1260  The approach focuses on identifying the key business processes within a business and modelling and implementing...

Extended Enterprise Modeling Language (EEML) is a modelling language which combines structural modelling, business process modelling, goal modelling with...

dividing Enterprise Systems into Physical and Logical Architectures. Purdue Reference Model for CIM including Generic Reference Data Flow Models. Example...

Sparx Systems Enterprise Architect is a visual modeling and design tool based on the OMG UML. The platform supports: the design and construction of software...

The Data Reference Model (DRM) is one of the five reference models of the Federal Enterprise Architecture. The DRM is a framework whose primary purpose...

analysis of data, service components and technology. Business model Business process modeling Enterprise Architecture framework Enterprise modelling Organizational...

continuous evolution", supported by enterprise modelling. The discipline examines each aspect of the enterprise, including business processes, information...

Algebra to Enterprise Modelling and Ontologies - a Historical Perspective on Modelling for Information Systems". In: Conceptual Modelling in Information...

Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal...

NIST Enterprise Architecture Model (NIST EA Model) is a late-1980s reference model for enterprise architecture. It defines an enterprise architecture...

cybersecurity, mining, modelling, processing, and metadata management. This change in approach was particularly focused on cloud computing. Data started to be...

Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part...

their activities by illustrating potential trade-offs. Enterprise data model: this type of data model according to Simsion (2005) can contain up to 50 to...

Developing an enterprise-wide conceptual ER model is useful to support documenting the data architecture for an organization. A conceptual ER model may be used...