What is explanatory model in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: explanatory model

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Model that provides information on current data.

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• Key Concepts: 
  Explanatory models are a type of predictive analytics used in SAP Predictive Analytics. They are used to identify relationships between different variables and to explain the behavior of a system. Explanatory models are used to identify patterns in data and to explain why certain outcomes occur. 
  
  How to use it: 
  Explanatory models can be used to identify relationships between different variables and to explain the behavior of a system. They can be used to identify patterns in data and to explain why certain outcomes occur. The model can be used to make predictions about future outcomes based on the data that has been collected. 
  
  Tips & Tricks: 
  When using explanatory models, it is important to ensure that the data is accurate and up-to-date. It is also important to ensure that the model is properly calibrated so that it can accurately predict future outcomes. Additionally, it is important to ensure that the model is regularly updated with new data so that it can remain accurate and up-to-date. 
  
  Related Information: 
  Explanatory models are closely related to other types of predictive analytics such as regression analysis, decision trees, and neural networks. Additionally, they are often used in conjunction with other types of analytics such as descriptive analytics and prescriptive analytics.