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Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content.
ISO 8000 is the international standard for Data Quality and Enterprise Master Data.Widely adopted internationally [1] [2] [3] it describes the features and defines the requirements for standard exchange of Master Data among business partners.
The ARIS concept (Architecture of Integrated Information Systems) by August-Wilhelm Scheer aims to ensure that an enterprise information system can completely meet its requirements. This framework is based on a division of the model into description views and levels, which allows a description of the individual elements through specially ...
Systems, database, infrastructure and organizational plans; Business case, costs, benefits, results and risks. EDMworks uses several components from the Open Systems Group TOGAF enterprise systems planning process. TOGAF acts as an extension to good business planning methods to provide a framework for the development of the systems and data ...
Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems."
Enterprise information management (EIM) is a business discipline specializing in providing solutions for optimal use of information within organizations, for instance to support decision-making processes or day-to-day operations that require the availability of knowledge. EIM aims to overcome traditional/legacy IT-related barriers to managing ...
Enterprise systems (ES) are large-scale enterprise software packages which support a range of business processes, information flows, reporting, and data analytics in complex organizations. While ES are generally packaged enterprise application software (PEAS) systems, [ 6 ] they can also be bespoke, custom-developed systems created to support a ...
Data architecture should be defined in the planning phase of the design of a new data processing and storage system. The major types and sources of data necessary to support an enterprise should be identified in a manner that is complete, consistent, and understandable.