What is identification-relevant in SAP CEC-MKT-DM-CE - Contact Engagement?

SAP Term: identification-relevant

• Component: CEC-MKT-DM-CE

• Component Name: Contact Engagement

• Description: Indicator appended to contact IDs both system IDs and additional IDs to specify whether they are relevant in the match and merge process for unique identification of contacts. Example: A contact can only have one unique system ID that cannot be shared with another contact. Such an ID is considered useful and relevant for determining a contact match. On the other hand, a landline phone number might be shared by multiple contacts and cannot uniquely identify one contact.

Smart SAP Assistant

• Key Concepts: 
  Identification-relevant is a term used in the Contact Engagement Center (CEC) component of SAP. It refers to the ability to identify customers and their associated data, such as contact information, preferences, and past interactions. This data can then be used to provide personalized customer experiences. 
  
  How to use it: 
  The identification-relevant feature of CEC allows users to quickly identify customers and their associated data. This data can then be used to create personalized customer experiences, such as tailored offers or targeted marketing campaigns. Additionally, the identification-relevant feature can be used to track customer interactions and analyze customer behavior. 
  
  Tips & Tricks: 
  When using the identification-relevant feature of CEC, it is important to ensure that customer data is kept secure and confidential. Additionally, it is important to ensure that customer data is updated regularly in order to provide accurate and up-to-date customer experiences. 
  
  Related Information: 
  The identification-relevant feature of CEC is closely related to other features such as segmentation and analytics. Segmentation allows users to group customers into different categories based on their preferences or behaviors, while analytics allows users to analyze customer behavior in order to gain insights into customer trends and preferences.