What is lagged variable in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: lagged variable

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Past values of a variable used in a time series model.

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• Key Concepts: 
  A lagged variable is a type of variable used in predictive analytics. It is a variable that is calculated based on the values of other variables at a previous point in time. For example, if you are predicting sales for the next month, you could use the sales from the previous month as a lagged variable. 
  
  How to use it: 
  In SAP Predictive Analytics, lagged variables can be used to create predictive models. To do this, you need to define the lagged variable in the data set and then use it as an input for the model. The model will then use the lagged variable to make predictions about future values. 
  
  Tips & Tricks: 
  When using lagged variables, it is important to consider how far back in time you should go. If you go too far back, the data may not be relevant anymore and your predictions may not be accurate. It is also important to consider how many lagged variables you should use. Too many can lead to overfitting and inaccurate predictions. 
  
  Related Information: 
  Lagged variables are just one type of variable that can be used in predictive analytics. Other types of variables include categorical variables, continuous variables, and time-series variables. All of these can be used to create predictive models in SAP Predictive Analytics.