Title :
Artificial neural network to analyse the customer profile of a sanitation company of São Paulo city
Author :
Romero, M. ; Sassi, R.J. ; Arrivabene, A.
Author_Institution :
Ind. Eng. Post Graduation Program, Nove de Julho Univ., Sao Paulo, Brazil
Abstract :
The sanitation sector of São Paulo is responsible for a significant share of the brazilian market and the private sector participation in this segment has gained strength in recent years. To address the needs of the population and also give returns to shareholders, the sanitation company is constantly seeking to improve their results. Increase sales have become a major challenge for the managers of commercial areas. One way to increase the commercial efficiency is through the use of the large amount of information and data stored on corporate systems. The aim of this paper is to analyze the consumer profile of a sanitation company of São Paulo city, obtained from a Data Mart by a Multilayer Perceptron Artificial Neural Network. The results obtained are positive and demonstrate the acceptability of decision making.
Keywords :
customer profiles; decision making; multilayer perceptrons; sales management; Brazilian market; São Paulo city; commercial area managers; commercial efficiency improvement; corporate systems; customer profile analysis; data mart; data storage; decision making acceptability; multilayer perceptron artificial neural network; private sectors; sales improvement; sanitation company; shareholders; Artificial neural networks; Bismuth; Companies; Delta modulation; Multilayer perceptrons; RNA; artificial neural network; data mart; decision making; multilayer perceptron; sanitation;
Conference_Titel :
Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4673-2843-2