What is enrichment data in SAP CA-ML-BDP - ?

SAP Term: enrichment data

• Component: CA-ML-BDP

• Component Name:

• Description: Services Related to Business Document Processing Structured data added to the information extracted from documents by the Document Information Extraction service. For example, an invoice uploaded to the service may not include a vendor number. By matching the enrichment data entity for vendor numbers with the header and line item fields extracted from the document, the service can add this missing information.

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• Key Concepts: 
  Enrichment data is a type of data used in SAP's CA-ML-BDP component. It is used to enhance the accuracy of machine learning models by providing additional information about the data being analyzed. This additional information can include demographic information, geographic information, or other contextual data that can help improve the accuracy of the model. 
  
  How to use it: 
  Enrichment data can be used in SAP's CA-ML-BDP component to improve the accuracy of machine learning models. To use enrichment data, it must first be collected and stored in a database. Once the data is collected, it can be used to create additional features for the model or to provide additional context for the model. 
  
  Tips & Tricks: 
  When using enrichment data, it is important to ensure that the data is accurate and up-to-date. Additionally, it is important to consider how the enrichment data will interact with other features in the model and how it will affect the accuracy of the model. 
  
  Related Information: 
  For more information on using enrichment data in SAP's CA-ML-BDP component, please refer to SAP's documentation on Machine Learning and Big Data Platforms. Additionally, there are many resources available online that provide more detailed information on using enrichment data in machine learning models.