Proposal of Data Processing Platform for Direct Marketing Data

TL;DR

This paper proposes a distributed data stream processing platform tailored for direct marketing, aiming to enhance customer targeting and predictive modeling by integrating recent data mining methodologies.

Contribution

It introduces a novel platform designed specifically for distributed processing of streaming data in direct marketing applications, improving development efficiency.

Findings

Evaluated multiple demographic and purchase datasets

Demonstrated improved targeting accuracy

Facilitated real-time data processing for marketing

Abstract

Data mining has been widely used to identify potential customers for a new product or service. In this article is done a study of previous work relating to the application of data mining methodologies for software projects, specifically for direct marketing projects. Several data sets of demographic and historical customer purchases data available for evaluation of algorithms in this area, some of them very new and current are described. The main contribution of this paper is the proposal of a platform for distributed data stream processing for the processes of targeting customers and building predictive models required response; thus facilitating several of the functional requirements for development environments.