Author(s)

C. A. Reis Pinheiro, A. G. Evsukoff & N. F. F. Ebecken

Abstract

Identifying the insolvency profile in a telephony operator database C. A. Reis Pinheiro, A. G. Evsukoff & N. F. F. Ebecken COPPE/Federal University of Rio de Janeiro, Brazil Abstract Insolvency is a problem that affects every company's processes and investments, yielding revenue losses and, mostly, customer losses. Generally, insolvency events are involuntary and can make customers migrate to another company. However, a small percentage of revenue losses occur voluntarily or due to frauds, when users intentionally do not pay their bills. All these events mean a lot of money loss, and in conjunction with other insolvency scenarios, yield a huge volume of revenue losses. The insolvency involuntary actions can be more controlled, analyzed and classified. After implementing and executing a cluster and classification models, it is possible to develop and deploy a prediction model to prevent insolvency involuntary events and detect frauds. Frauds happen in different circumstances and, for being inte

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