Inteligencia de negocios y minería de datos aplicado a la industria refresquera

  • Rodríguez Flores F
  • Flores Pulido L
  • la Rosa E
N/ACitations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

This paper summarizes the development of a data mining solution for business intelligence applied to the channel detail in a soft drink industry. The aim is to develop the analysis, design and construction of a solution based on the guidelines on the CRISP-DM methodology. The solution of business intelligence used has a data mart with consolidate information, which allows users to quickly acces the corresponding commercial indicators information so the users can make decisions that match the reality of the business.

Cite

CITATION STYLE

APA

Rodríguez Flores, F., Flores Pulido, L., & la Rosa, E. D. de. (2016). Inteligencia de negocios y minería de datos aplicado a la industria refresquera. Research in Computing Science, 126(1), 63–71. https://doi.org/10.13053/rcs-126-1-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free