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
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
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