Taxonomy for Digital Asset Management (DAM)
Taxonomy allows non-textual digital assets such as images, videos, and audio to be more consistently indexed for reporting, search, publishing, and lifecycle management purposes. To learn more about how WAND can apply its products and services, be sure to check out the applications and platforms listed below. If you'd like us to add another, please contact us with more information.
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Adobe Experience Manager
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Bynder
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Canto
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Widen Collective
Taxonomy for Digital Asset Management (DAM)
Taxonomy allows non-textual digital assets such as images, videos, and audio to be more consistently indexed for reporting, search, publishing, and lifecycle management purposes. To learn more about how WAND can apply its products and services, be sure to check out the applications and platforms listed below. If you'd like us to add another, please contact us with more information.
-
Adobe Experience Manager
-
Bynder
-
Canto
-
Widen Collective
Taxonomy for Digital Asset Management (DAM)
Taxonomy allows non-textual digital assets such as images, videos, and audio to be more consistently indexed for reporting, search, publishing, and lifecycle management purposes. To learn more about how WAND can apply its products and services, be sure to check out the applications and platforms listed below. If you'd like us to add another, please contact us with more information.
-
Adobe Experience Manager
-
Bynder
-
Canto
-
Widen Collective
Taxonomy is much more than just a list of words.
Taxonomies, ontologies, and knowledge graphs are the intelligence behind a wide range of enterprise information management applications.
Taxonomy Applications
Taxonomies can add structure and context to information so it's more easily located and provides insights that may have been previously unattainable. WAND has curated a list of enterprise applications offering support for taxonomies and illustrates the value that taxonomies bring for improving the organization, search, and analysis of information.
Taxonomy for Artificial Intelligence (AI) and Natural Language Processing (NLP)
Machine learning systems are designed to emulate human thinking and logic. To do this, algorithms require well-constructed models and structures. The use of natural language adds a human element to data that is otherwise unfriendly to the average consumer.
Taxonomy for Business Intelligence (BI) and Analytics
Taxonomy provides a data model for analytics and acts as a crucial enabler to providing context and relationships between concepts. The taxonomy normalizes synonyms and common concepts to aid in data visualizations as well as clustering, trending, and modeling.
Taxonomy for Content Management Systems (CMS)
To learn more about how WAND can apply its products and services, be sure to check out the applications and platforms listed below.
Taxonomy for Data Catalog and Business Glossary
Business Glossaries and Data Catalogs are essential tools for defining a consistent vocabulary for an organization. Using terminology consistent across and organization helps ensure accuracy and integrity when labeling data elements in a data lake or other enterprise repository.
Taxonomy for Digital Asset Management (DAM)
Taxonomy allows non-textual digital assets such as images, videos, and audio to be more consistently indexed for reporting, search, publishing, and lifecycle management purposes.
Taxonomy for Enterprise Content Management (ECM)
Taxonomy forms the foundation of a successful content management initiative by providing a set of normalized terms by which documents, records, media, collaboration, and enterprise social assets can be identified and tagged. Downstream, this enables policy and workflow-based management, spanning the full content lifecycle.
