 | This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Find sources: "Enterprise data modelling" – news · newspapers · books · scholar · JSTOR (December 2009) (Learn how and when to remove this message) |
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. Typical outputs of this activity include an enterprise data model consisting of entity–relationship diagrams (ERDs), XML schemas (XSD), and an enterprise wide data dictionary.
Overview
Producing such a model allows for a business to get a 'helicopter' view of their enterprise. In EAI (enterprise application integration) an EDM allows data to be represented in a single idiom, enabling the use of a common syntax for the XML of services or operations and the physical data model for database schema creation. Data modeling tools for ERDs that also allow the user to create a data dictionary are usually used to aid in the development of an EDM.
The implementation of an EDM is closely related to the issues of data governance and data stewardship within an organization.
An Enterprise Data Model (EDM) represents a single integrated definition of data, unbiased of any system or application. It is independent of “how” the data is physically sourced, stored, processed or accessed. The model unites, formalizes and represents the things important to an organization, as well as the rules governing them
— Noreen Kendle, 2005
References
- Noreen Kendle (July 1, 2005). "The Enterprise Data Model". The Data Administration Newsletter.
- Andy Graham (2010). The Enterprise Data Model: A framework for enterprise data architecture. ISBN 978-0956582904.
 | This computer science article is a stub. You can help Misplaced Pages by expanding it. |