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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: The behavioral domain is usually obtained through aggregates per entity on transactional tables.
Key Concepts: A domain in SAP Predictive Analytics is a collection of related data points that are used to create a predictive model. It is the foundation of the predictive model and is used to define the scope of the analysis. The domain consists of input variables, output variables, and other related data points. How to use it: In order to create a predictive model, you must first define the domain. This involves selecting the input variables, output variables, and other related data points that will be used in the analysis. Once the domain is defined, you can then use the SAP Predictive Analytics tools to create a predictive model. Tips & Tricks: When defining a domain for a predictive model, it is important to select only those data points that are relevant to the analysis. This will help ensure that the model is accurate and reliable. Additionally, it is important to consider any potential correlations between the input and output variables when selecting data points for the domain. Related Information: For more information on domains in SAP Predictive Analytics, please refer to the official documentation available on SAP's website. Additionally, there are many tutorials available online that provide step-by-step instructions on how to define and use domains in SAP Predictive Analytics.