Implementation of applicable models of Customer Analytics for a Retail Company in Mexico

Daniela Garza Gutiérrez, Juan Ignacio González Espinosa

Resultado de la investigación

Resumen

Big Data has become a worldwide tendency, having strong presence in the technological sphere as well as an increased growth in all market sectors. In this final evaluation project, extensive exploration on Big Data literature, predictive analytics, client analytics, as well as that of tools and technologies associated with the compilation and processing of mass data was undertaken. Furthermore, the elaboration of a data analysis model is being performed for a company within the ambit of the retail sector in Mexico. The abovementioned, through the development of a pilot test, which consists of three general stages, identification of the client, validation and refinement of of the model and a forecast of new clients. The pilot test implies the formulation, refinement and reading of data of mass scale. This is undertaken by making use of three analyses: discriminant analysis, hierarchical cluster and k - media cluster. The methodology employed is DMADV, which is used where there is a need of designing or a re-designing of products and/or processes or, such as this case, the process of data analysis. As a result a model capable of identifying 5 different segments, which the potential of providing analytical capacities in order to know, grow, monitor and maintain e-commerce clients within the retail business of Mexico.

Idioma originalEnglish
Título de la publicación alojadaProceedings of the International Conference on Industrial Engineering and Operations Management
EditorialIEOM Society
Páginas1359-1360
Número de páginas2
Volumen2018
EdiciónSEP
EstadoPublished - sep 2018
Evento3rd North American IEOM Conference. IEOM 2018 -
Duración: 27 sep 201829 sep 2018

Serie de la publicación

NombreProceedings of the International Conference on Industrial Engineering and Operations Management

Conference

Conference3rd North American IEOM Conference. IEOM 2018
Período27/9/1829/9/18

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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  • Citar esto

    Gutiérrez, D. G., & Espinosa, J. I. G. (2018). Implementation of applicable models of Customer Analytics for a Retail Company in Mexico. En Proceedings of the International Conference on Industrial Engineering and Operations Management (SEP ed., Vol. 2018, pp. 1359-1360). (Proceedings of the International Conference on Industrial Engineering and Operations Management). IEOM Society.