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  3. analytical CRM


What is analytical CRM in SAP CRM-ANA - CRM Analytics?


SAP Term: analytical CRM

  • Component: CRM-ANA

  • Component Name: CRM Analytics

  • Description: A consistent suite of analytical applications for measuring, predicting, and optimizing a company's customer relationships. Analytical CRM allows companies to continuously capture and analyze a broad range of customer data to gain significant insights into and a deeper understanding of their customers. This information assists companies in optimizing customer relationships across all customer touchpoints.


Smart SAP Assistant

  • Key Concepts: 
    Analytical CRM is a component of SAP's Customer Relationship Management (CRM) software. It provides powerful analytics capabilities to help businesses gain insights into customer behavior and preferences. It enables users to analyze customer data, identify trends, and make informed decisions about customer relationships. 
    
    How to use it: 
    Analytical CRM can be used to analyze customer data in order to gain insights into customer behavior and preferences. It can be used to identify trends in customer data, such as which products are most popular or which customers are most likely to purchase certain products. It can also be used to make informed decisions about customer relationships, such as which customers should be targeted for marketing campaigns or which customers should receive special offers. 
    
    Tips & Tricks: 
    When using Analytical CRM, it is important to ensure that the data being analyzed is accurate and up-to-date. Additionally, it is important to ensure that the analysis is conducted in a way that is meaningful and relevant to the business. 
    
    Related Information: 
    Analytical CRM is part of SAP's Customer Relationship Management (CRM) software suite. Other components of the suite include Sales & Service, Marketing, and Social Engagement & Collaboration. Additionally, Analytical CRM can be integrated with other SAP solutions such as Business Intelligence (BI) and Enterprise Resource Planning (ERP).
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