What's good data management?
Data management is an ongoing process critical to an organization’s success. It incorporates five components and their associated tools: Identify, Cleanup, Enrichment, Enterprise Search, and Migrate.
Identify | Identify what data your organization has, where it is located, and how and when it is interacted with. Leverage this knowledge to clean, enrich, search, and/or migrate your data. Examples:
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Cleanup | Cleanup your organization’s information by quarantining and/or disposing of redundant, obsolete, and trivial data (ROT), as well as duplicate content. Examples:
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Enrichment | Enrich your organization with meaningful metadata using various forms of extraction and classification. Examples:
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Enterprise Search | Enable end users to search for content across multiple sources from one place and retrieve results based on their permissions. Examples:
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Migrate | Move your organization’s data from one source to another and take only what you need with you. Examples:
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