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
WAND Taxonomy Suites
The WAND Taxonomy Suites are Taxonomy packages that include all the relevant domains of knowledge for your specific industry. From Health Care to Aerospace to Utilities, there is a suite curated for you in your organization!
Each suite outlines the WAND Taxonomies that address all of the knowledge domains for a specific industry, company, or organization. Within the chosen suite, there are taxonomies that relate to the specific field as well as taxonomies that relate to the operations of the enterprise.
Explore the thirty-five suites below to find the one for you and your company and explore the contained taxonomies. Then, contact us to schedule a web conference call to talk about your use case and how you can take full advantage of these suites and what they have to offer in your business.
Download the WAND Taxonomy Suite Catalog here:
Want to check out all the Taxonomies?
WAND has over one hundred different categories that cover numerous knowledge domains and can be used in more than 150 common enterprise applications. These are all available through the WAND Taxonomy Library Portal. You can check out a full list of taxonomies here or find an applicable suite from the list above to find a hand-picked, curated list of taxonomies relevant to your industry.
Newest Taxonomies:
Automotive Manufacturing Taxonomy
If you are in the automotive manufacturing sector, you are surely aware of all the documents, data, and information generated from your business daily. But what happens to all that data? Is it being efficiently used and stored? Chances are it is not. This is where the WAND Automotive Manufacturing Taxonomy can help. You can organize your documents with ease, train your AI with speed, and begin using your company's automotive manufacturing documents and data in no time! As with all our taxonomies, this strong foundation metadata model can be customized to include additional terms related to your specific needs or industry.
This taxonomy contains 1,791 terms and 2,332 synonyms. Top-level terms include:
• Assembly (148)
• Associations (10)
• Components (618)
• Design (137)
• Features (337)
• National Highway Traffic Safety Administration (107)
• Performance (42)
• Problems (317)
• Vehicle Classification (66)
Asset Status Taxonomy
The WAND Asset Status Taxonomy can be used to find documents relating to assets throughout all types of businesses and industries. With this taxonomy, you can organize your information with ease, train your AI with speed, and begin using your company's asset status documents and data in no time! As with all our taxonomies, this strong foundation metadata model can be customized to include additional terms related to your specific needs or industry.
This taxonomy contains 93 terms and 282 synonyms. Top-level terms include:
• Asset Availability (13)
• Asset Condition (67)
• Asset Ownership (10)
North America Continents, Countries, States, and Cities Taxonomy
The WAND North America Geography Taxonomy is designed for any organization needing a comprehensive and organized structure of geographic information across the continent. This taxonomy covers the essential hierarchical structure of the North American continent, its countries, states, and only the most populous cities, making it an ideal tool for applications ranging from geographic information systems (GIS) to market research and regional analysis.
Accurate geographic data is crucial for businesses to make informed decisions, whether in logistics, marketing, or regional planning. With the WAND North America Geography Taxonomy, you can organize geographic data efficiently, enabling faster data retrieval, AI training, and decision-making processes. This taxonomy provides a robust foundation that can be customized to include additional regions or cities based on specific business needs.
This taxonomy contains 1,289 terms and 231 synonyms. Top-level terms include:
• Bermuda (2)
• Canada (356)
• Caribbean (158)
• Greenland (2)
• Mexico (62)
• Saint Pierre and Miquelon (1)
• United States (677)
• United States Territories (22)
Testimonials:
"The Taxonomies saved us a huge amount of time. We were able to deliver value immediately where without WAND, it would have taken many months for us to deliver a less useful, incomplete solution."
"We searched the market –– worldwide –– to find a firm that could help us and WAND Was hands down the most comprehensive assembly of deep and wide taxonomies, requiring only two clicks to import into our workflow and only a few days to incorporate into our product architecture, seeing immediate results."
"WAND only works with taxonomy and has been doing so since the 80's. What are the odds we could have created a complete list efficiently, or at all? Why try to recreate the wheel?