dnbAssessment (DNB.LINKAGE.LNKELI)
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| Name Name of a concept, e.g. a data model concept. In contrast to terms, the name does not depend on a given context, e.g. a country-specific language. | dnbAssessment |
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| Description Informal and comprehensive human-readable definition of a concept. | The details of the assessment made by Dun & Bradstreet or a third party in order to provide value-added information on entities. This information may include:
- recommendations on how much credit to extend to them - assessments of their liquidity - concise evaluations of their performance and behavior - predictions on the risk of conducting business with them. The predictive scores are usually calculated and assigned by Dun & Bradstreet, but such assessments may also be recorded when assigned by third parties. |
| Part of Hierarchical relation between two concepts of the CDQ Data Model. | Data source DNB.LINKAGE.LNKELI |
| Technical key Defines a unique key by which e.g. data model concepts can be referenced in a technical integration context. These keys are unique in the CDL context. | dnbAssessment
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| Parent concept Hierarchical relation between two concepts of a data model, e.g., the CDQ Data Model. | Data source/DNB.LINKAGE.LNKELI/data model/organization |
| Cardinality Cardinality of data model concepts.<br/><code>ZERO_OR_ONE</code>: Optional, but max. 1 instance related to its parent.<br/><code>EXACTLY_ONE</code>: Exactly 1 instance related to its parent.<br/><code>ZERO_OR_MORE</code>: Optional, multiple instances related to its parent may exist.<br/><code>ONE_OR_MORE</code>: Mandatory, multiple instances related to its parent may exist. | ZERO_OR_ONE
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| Data type Data type of a data model concept, i.e., <code>ARRAY</code>, <code>BOOLEAN</code>, <code>DATE</code>, <code>ENUM</code>, <code>INTEGER</code>, <code>OBJECT</code>, or <code>STRING</code>. | OBJECT
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| Path JSON Path to identify attributes in a data item. | cmpelkV2.organization.dnbAssessment
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| Concept role The role of a Category:Data model concept in the tree structure of a data model.<br/><code>ROOT</code>: Root concept in a data model, i.e., no parent concepts.<br/><code>NODE</code>: Structure concepts in a data model, i.e., parent and child concepts.<br/><code>LEAF</code>: Leaf concept in a data model, i.e., no child concepts, provides the effective data values.<br/> | NODE
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| Mapping |
Sub concepts