Predict 3G users for telecom by using SAS Enterprise Miner

This post was kindly contributed by SAS Analysis - go there to comment and to read the full post.

Situation: For a telecommunication company, there are a training dataset of 18,000 customers and a scoring dataset of 2,000 customers.
Task:Find potential 3G users from the existent 2G users to increase ARPU and MARPU
Action: Trained models by decision tree, neural network and logistic regression on SAS EM 5.2.
Result: Proposed tailed device and service, promotion channel, and branding image strategy for segments; Formed an ensemble model with misclassification rate <.04 and Impremented the model.


/*VERY BEGINNING: DATA TRANSFER FOR MODELING BY SAS ENTERPRISE MINER*/
options noxwait noxsync; 
dm 'x "cd D:\";'; 
dm 'x " md mylib" ';
dm 'x  "xcopy d:\matchresult\*.*/D/E/S/R/Y/A d:\mylib "  ';

This post was kindly contributed by SAS Analysis - go there to comment and to read the full post.

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