Un modelo de sobrevida multivariado para eventos recurrentes por sujeto con evento terminal: deserción de clientes en la industria de las telecomunicaciones
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El uso de modelos de sobrevida para estimar el riesgo de deserción de clientes en la industria de telecomunicaciones es común cuando los clientes son hogares o personas. En el segmento empresarial se observa un proceso subyacente asociado a la pérdida del cliente, no observado en los segmentos de hogares y personas, que es la desconexión de los servicios de manera paulatina. Esta situación no puede ser ignorada en el modelamiento del riesgo de deserción. En este trabajo se propone el modelamiento del riesgo de pérdida de clientes del segmento empresarial, en la industria de telecomunicaciones mediante un modelo de sobrevida multivariado para eventos recurrentes en presencia de un evento terminal.
bstract. Using survival models to estimate the risk of clients' desertion in communications industry is frequent when clients are households or persons. In the enterprise segment an underlying process associated to client loss is observed, which does not appear in the segments of households and persons, and it is the slowpaced unplug of services. Such a situation can not be ignored in the modeling of desertion risk. The aim of this work is to propose the modeling of clients' loss risk for the enterprise segment, in telecommunications industry, through a multivariated survival model for recurrent events in the presence of a terminal event.
bstract. Using survival models to estimate the risk of clients' desertion in communications industry is frequent when clients are households or persons. In the enterprise segment an underlying process associated to client loss is observed, which does not appear in the segments of households and persons, and it is the slowpaced unplug of services. Such a situation can not be ignored in the modeling of desertion risk. The aim of this work is to propose the modeling of clients' loss risk for the enterprise segment, in telecommunications industry, through a multivariated survival model for recurrent events in the presence of a terminal event.