Modelo de minería de datos de rentabilidad de los clientes corporativos de Produbanco

Abstract

Abstract:Produbanco - Grupo Promerica is a financial institution which holds a department that is in charge of coordinating services for corporate customers; within which fee analysis is performed in order to improve it. In addition, offers are presented with the sole goal of increasing rentability. This process delays information recollection and retrieval, which is why an alternative that uses diverse information sources is feasible, since it helps find rentability parameters through the application of data mining. For the studied process, a CRIPS-DM methodology is applied, as well as data mining that focuses on "Artificial Neuronal Network". In this investigation, a random client sample is being considered. The creation of the data mining model is developed though the WEKA app. The results of the model are incorporated to a template in the Power BI app; this alternative allows the consideration of relevant information and hence, a rentability projection for clients, and in turn, an improve in the response timing of executives.