Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management

Authors

  • Jean-Louis Amat

DOI:

https://doi.org/10.26636/jtit.2002.3.139

Keywords:

data mining, customer profiling, OLAP reporting, fraud management, CRM, real-time marketing

Abstract

One of the main issues of operators today is to be able not only to store and manage the huge amount of data generated by the applications and customer contact points, but also to give value to these data. But this implies using tools for storing the data, to manage it, look at it, understand it, exploit it, generate actions such as marketing campaigns. It is therefore obvious that using one tool for each of these functions will lead to a too big and unusable solution. We will discuss here the technical issues involved and show how we turned them into an easy-to-use solution for business users.

Downloads

Download data is not yet available.

Downloads

Published

2002-09-30

Issue

Section

ARTICLES FROM THIS ISSUE

How to Cite

[1]
J.-L. Amat, “Using reporting and data mining techniques to improve knowledge of subscribers; applications to customer profiling and fraud management”, JTIT, vol. 9, no. 3, pp. 1–5, Sep. 2002, doi: 10.26636/jtit.2002.3.139.