What is 'predictive scenario' in SAP CEC-MKT-ML-PRE - Predictive Studio?

predictive scenario - Overview

• Component: CEC-MKT-ML-PRE

• Component Name: Predictive Studio

• Description: The combination of a business use case, predictive data sources, and assigned statistical methods. Examples for predictive scenarios are the customer churn rate, or the buying propensity.

predictive scenario - Details

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  Key Concepts: 
  Predictive scenario is a feature of the CEC-MKT-ML-PRE Predictive Studio component of SAP. It enables users to create predictive models and scenarios to predict future outcomes based on past data. The predictive scenarios are created using machine learning algorithms and can be used to make decisions about marketing campaigns, customer segmentation, and more. 
  
  How to use it: 
  To use the predictive scenario feature, users must first create a predictive model. This is done by selecting the data set that will be used for the model, selecting the algorithm that will be used to create the model, and then training the model. Once the model is trained, users can then create a predictive scenario by selecting the data set that will be used for the scenario, selecting the algorithm that will be used to create the scenario, and then running the scenario. 
  
  Tips & Tricks: 
  When creating a predictive model or scenario, it is important to select an appropriate algorithm for the data set being used. Different algorithms are better suited for different types of data sets, so it is important to select an algorithm that is best suited for the data set being used. Additionally, it is important to ensure that enough data is available for training and running the model or scenario. 
  
  Related Information: 
  For more information on predictive scenarios and how