Data Mining Techniques to Acquire New Customers

Data Mining Techniques to Acquire New Customers

LAP Lambert Academic Publishing ( 2016-03-23 )

€ 41,90

Buy at the MoreBooks! Shop

The aim of the book is to discuss the most widespread data mining techniques: logistic regression, decision tree and neural network, and to assess whether these techniques provide financial gains for private institutions that have active processes for business development. A company from the financial sector is used as a study subject, specifically in the processes of acquiring new customers for adhesion to consumer credit (in Brazil CC, or Crédito Direto ao Consumidor). This survey will show the results of the three abovementioned techniques, to check whether the statistical models indicate relevant differences between the prospects´ intentions to adhere to consumer credit. In the meantime, the techniques are checked to see whether they leverage financial gain. These gains are expected to come from better focused and directed marketing efforts. The paper presents the functioning of each technique theoretically, and as the results indicate, data mining is a great opportunity for a company to boost profits.

Book Details:

ISBN-13:

978-3-659-86133-8

ISBN-10:

3659861332

EAN:

9783659861338

Book language:

English

By (author) :

Adriana M. M. Silva

Number of pages:

184

Published on:

2016-03-23

Category:

Analysis