SiMobil – IBM SPSS Case Study

To prosper in a crowded market, telecom provider SiMobil wanted to find new ways to cut costs and boost revenues. It identified customer retention and handset investment as key areas for improvement.

SiMobil deployed powerful data modelling software to reveal deep insights into customer behaviour – predicting whether customers are likely to churn and which handsets they are likely to choose. Predicting churn helps SiMobil boost retention by 10 percent, saving EUR1.1 million a year.

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