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Fluorite | Level 6

Hi All,

 

In our company, we are planning to put in place a processs that will enable us to score weekly the active customers or eligible customers using multiple models we built.

 

Everytime, we score, we will have to recalculate the variables used in the model.

 

My question, is there any smart way of putting an inteligent automated process, that will only calculate the variables needed for each model instead of recreating a 1000 of variables each time.

 

Hope it makes sense

 

Thank you

2 REPLIES 2
ballardw
Super User

Details.

 

What does this mean (provide some example)


Everytime, we score, we will have to recalculate the variables used in the model.

 

My question, is there any smart way of putting an inteligent automated process, that will only calculate the variables needed for each model instead of recreating a 1000 of variables each time.

 


Is your model in SAS? Are you creating your weekly data sets with differently named variables?

If the variable the model needs is not in the data then you need to make sure it is there. Or create a new model using the variables you do have.

 

Many of the regression (modeling) procedure will generate coefficient data sets that you can feed raw data and the coefficients to Proc Score and get the model results.

 

I will say that processes that use 1000 variables may need some reconsideration.

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