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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.
A data steward is a role that ensures that data governance processes are followed and that guidelines are enforced, and recommends improvements to data governance processes. Data governance involves the coordination of people, processes, and information technology necessary to ensure consistent and proper management of an organization's data ...
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 Enterprise Continuum is a way of classifying solutions and architectures on a continuum that range from generic foundation architectures through to tailored organization-specific both within and outside the Architecture Repository. [19] These include architectural models, architectural patterns, architecture descriptions, and other artifacts.
Enterprise architecture regards the enterprise as a large and complex system or system of systems. [3] To manage the scale and complexity of this system, an architectural framework provides tools and approaches that help architects abstract from the level of detail at which builders work, to bring enterprise design tasks into focus and produce valuable architecture description documentation.
Information governance is a term used in MIKE2.0. The governance model provides assessment tools, information standards, organizational structures and roles and responsibilities in relation to managing information assets. Governance 2.0 is another term used, along with Enterprise 2.0 techniques and technologies.
Enterprise modelling is the process of building models of whole or part of an enterprise with process models, data models, resource models and/or new ontologies etc. It is based on knowledge about the enterprise, previous models and/or reference models as well as domain ontologies using model representation languages. [3]
Master data management (MDM) is a discipline in which business and information technology collaborate to ensure the uniformity, accuracy, stewardship, semantic consistency, and accountability of the enterprise's official shared master data assets.