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Data steward. A data steward is an oversight or data governance role within an organization, and is responsible for ensuring the quality and fitness for purpose of the organization's data assets, including the metadata for those data assets. A data steward may share some responsibilities with a data custodian, such as the awareness ...
Data custodians are responsible for the safe custody, transport, storage of the data and implementation of business rules. [ 1][ 2] Simply put, Data Stewards are responsible for what is stored in a data field, while data custodians are responsible for the technical environment and database structure. Common job titles for data custodians are ...
A data mart is basically a condensed and more focused version of a data warehouse that reflects the regulations and process specifications of each business unit within an organization. [2] Each data mart is dedicated to a specific business function or region. This subset of data may span across many or all of an enterprise's functional subject ...
Metadata means "data about data". Metadata is defined as the data providing information about one or more aspects of the data; it is used to summarize basic information about data that can make tracking and working with specific data easier. [ 14] Some examples include: Means of creation of the data.
Master data management ( MDM) is a discipline in which business and information technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets. [ 1][ 2]
A warehouse management system ( WMS) is a set of policies and processes intended to organise the work of a warehouse or distribution centre, and ensure that such a facility can operate efficiently and meet its objectives. In the 20th century the term 'warehouse management information system' was often used to distinguish software that fulfils ...
In modern management usage, the term data is increasingly replaced by information or even knowledge in a non-technical context. Thus data management has become information management or knowledge management. This trend obscures the raw data processing and renders interpretation implicit. The distinction between data and derived value is ...
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.
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