Organizational Structure Pattern Identification

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dc.contributor.advisorRuíz-Cruz, Riemann
dc.contributor.authorVaca-Gómez, María E.
dc.date.accessioned2023-05-18T20:15:31Z
dc.date.available2023-05-18T20:15:31Z
dc.date.issued2022-12
dc.descriptionMulti-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.es_MX
dc.identifier.citationVaca-Gómez, M. E. (2022). Organizational Structure Pattern Identification. Trabajo de obtención de grado, Maestría en Ciencia de Datos. Tlaquepaque, Jalisco: ITESO.es_MX
dc.identifier.urihttps://hdl.handle.net/11117/9113
dc.language.isoenges_MX
dc.publisherITESOes_MX
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes_MX
dc.subjectClusteringes_MX
dc.subjectK-meanses_MX
dc.subjectHierarchical Clusteringes_MX
dc.subjectOrganizationes_MX
dc.titleOrganizational Structure Pattern Identificationes_MX
dc.typeinfo:eu-repo/semantics/masterThesises_MX
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_MX

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