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  2. Enterprise data management - Wikipedia

    en.wikipedia.org/wiki/Enterprise_data_management

    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.

  3. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept

  4. Enterprise data planning - Wikipedia

    en.wikipedia.org/wiki/Enterprise_Data_Planning

    Enterprise data planning is based on proven business disciplines. [3] Key architectural layers for data and applications are then added in order to provide an enterprise wide understanding of the uses and interdependencies of data. [4] This enables the definition of the core components of the EDM plan: Industry structure and business objectives ...

  5. Enterprise data modelling - Wikipedia

    en.wikipedia.org/wiki/Enterprise_data_modelling

    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 .

  6. Enterprise content management - Wikipedia

    en.wikipedia.org/wiki/Enterprise_Content_Management

    Enterprise content management, a form of content management, combines the capture, search and networking of documents with digital archiving, document management and workflow. It includes the challenges involved in using and preserving a company's internal (often unstructured) information in all of its forms.

  7. Data architecture - Wikipedia

    en.wikipedia.org/wiki/Data_architecture

    These include enterprise requirements, technology drivers, economics, business policies and data processing needs. Enterprise requirements These generally include such elements as economical and effective system expansion, acceptable performance levels (especially system access speed), transaction reliability, and transparent data management.

  8. Google Cloud exec: Enterprise AI is game-changing, but ... - AOL

    www.aol.com/finance/google-cloud-exec-enterprise...

    Enterprise AI is entering a multimodal world, says Google Cloud's global GM of AI go to market. ... why companies need to get their data in order, and more. A young man looks at Gemini, Google's ...

  9. Data warehouse - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse

    Data Warehouse and Data mart overview, with Data Marts shown in the top right. 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 a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...