Comparação e agrupamento de empresas de telecomunicação de acordo com a avaliação da ANATEL

• Autor(a) principal: Laia, Guilherme Alvarenga
• Data de Publicação: 2016
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/17879
• topic: Telecomunicação; Indicadores ANATEL; Análise multivariada; Telefonia móvel; Telecommunications; ANATEL indicators; Multivariate analysis; Mobile; Estatística; CNPQ::CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA

The telecommunications market is among the most competitive, as are many companies seeking spaces in concession areas. ANATEL (National Telecommunications Agency) is the body that oversees and regulates all companies in the industry through indicators. Multivariate analysis seeks to find and separate individuals in statistically equal groups. ANOVA basically divides the variability between groups and variation within groups, and compares the two. The method of k-means clustering method is a partition which aims n observations from k groups where each observation belongs to the group closest to the average. The objective of this study is to group similar businesses and to study which of them progressed and which regressed with respect to indicators. Descriptive statistics showed that Algar Telecom, Claro, Vivo and Tim improved from year to year, while the Oi was the one who progressed in the studied indicators. The hierarchical cluster analysis indicated that businesses are divided into three groups, both in 2014 as in 2015, though the groups are formed differently for each year. Algar was the company that achieved the best scores in both years studied, unlike Oi, which was the provider that had the lowest values in most indicators.