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Component: CRM-ANA
Component Name: CRM Analytics
Description: A form of analysis that displays potential sales revenue by providing an overview of the current and future sales situation. Pipelines can be used to track quantities of sales, compare expected and actual values, or as a basis for planning future sales processes. Pipelines are employed in different areas, such as opportunities, contracts or activities.
Key Concepts: Pipeline is a term used in the SAP CRM Analytics component to refer to the process of analyzing customer data. It is a set of steps that are used to identify patterns and trends in customer data, and then use those insights to make decisions about how to best serve customers. How to use it: The pipeline process begins with collecting customer data from various sources, such as customer surveys, customer feedback, and sales data. This data is then analyzed using various techniques, such as predictive analytics, machine learning, and natural language processing. The insights gained from this analysis are then used to create strategies for improving customer service and increasing sales. Tips & Tricks: When using the pipeline process, it is important to ensure that the data being collected is accurate and up-to-date. Additionally, it is important to ensure that the analysis techniques being used are appropriate for the type of data being analyzed. Finally, it is important to ensure that the insights gained from the analysis are used to create effective strategies for improving customer service and increasing sales. Related Information: The SAP CRM Analytics component also includes other features such as segmentation, forecasting, and optimization. Additionally, there are a variety of tools available for analyzing customer data, such as Tableau and Power BI. Finally, there are a variety of resources available online for learning more about the pipeline process and how to use it effectively.
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