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The Open Group Architecture Framework (TOGAF) is the most used framework for enterprise architecture as of 2020 [2] that provides an approach for designing, planning, implementing, and governing an enterprise information technology architecture. [3] TOGAF is a high-level approach to design.
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 ...
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.
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.
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.
FDIC Enterprise Architecture Framework is the Enterprise Architecture framework of the Federal Deposit Insurance Corporation (FDIC). Federal Enterprise Architecture Framework (FEAF) : The 1999 documentation of the Federal Enterprise Architecture Framework Version 1.1 explains how the NIST Framework is used as a foundation of the FEA Framework. [2]
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.
It encompasses topics such as data architecture, security, quality, modelling, governance, [9] big data, data science, and more. [10] The DMBok includes the DAMA Data Wheel. The infographic represents the core data management practices having data governance as at its centre. The surrounding segments each represent a different aspect of data ...