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Metadata management is one of the foundational components of an enterprise data management initiative. Business metadata includes the definitions of each data element, while technical metadata includes the format, source, target, and other elements that identify the data’s structure, and includes the data lineage for each attribute. Best practices in metadata management development of a metadata management strategy based on business and technical requirements.
Every organization needs to control and manage its common data effectively. Following Master Data Management’s best practices can provide the right single view of customer,
Master and reference data management is much more than a technical solution. It is a combination of data integration, metadata management, data governance, and enterprise
Every data documentation effort should identify the expected benefits, often based on the context and content While defining an approach to documenting data and the
Master Data Management can support a total view of common data (customer, product, location, etc.) Agile data governance can support the development and implementation of
To investigate how to improve the management of Customer Data, organizations often choose from among CRM, MDM or a CDP Many valid options exist in
Reference and master data provide the contextual capabilities for transactional data. Managing reference and master data enables organizations to understand operational data and analyze disparately
