Organizational Structure Pattern Identification
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Fecha
2022-12
Autores
Vaca-Gómez, María E.
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ITESO
Resumen
Descripción
Multi-level marketing company, that its business schema has different recognition levels, this project aims to identify patterns according to the organizational structure of the distributors that have a specific recognition level. During the last years, this company has done different analysis searching for a better understanding of this specific group, where the results obtained add value to the company. However, further exploration of this group can be done by taking as a reference its organizational structure and performance through time.
Implementing 2 machine learning algorithms, K-means, and Hierarchical clustering, 3 groups were identified with specific behaviors, the objective of using 2 models, is to be able to compare results from both models. In this project, the groups found for both methodologies are consistent, ensuring that the conclusions obtained from the analysis of these groups have the confidence level required.
Analyzing each of the groups 1 year later leads to different insights and actionable proposals for the company; within the found groups, it exists 1 group that shows an outstanding performance through time and 1 group with a decreasing performance. Given those findings, it is recommended to make tight efforts to have early identification and do a special follow-up that could prevent the last mentioned group from falling.
Palabras clave
Clustering, K-means, Hierarchical Clustering, Organization
Citación
Vaca-Gómez, M. E. (2022). Organizational Structure Pattern Identification. Trabajo de obtención de grado, Maestría en Ciencia de Datos. Tlaquepaque, Jalisco: ITESO.