Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10362/89468
Título: | Customer clustering in the health insurance industry by means of unsupervised machine learning |
Autor: | Zaqueu, Jéssica Raquel |
Orientador: | Vanneschi, Leonardo Rufino, André El-Jawhari, Anwar |
Palavras-chave: | Segmentation Clustering Customer Analytics Customer Clustering Customer Segmentation Insurance Unsupervised learning KMeans Decision Trees Data Mining Customer Behaviour Health Insurance |
Data de Defesa: | 19-Nov-2019 |
Resumo: | To ensure competitiveness and relevancy in today’s highly digitised world, companies need to ensure that their focus is continuously on the client and on the experience they provide – while not having a negative effect on the organisation’s bottom line. A crucial step to achieving this is to get to know one’s customer base. With the vast amount of data available in a health insurance company, they are able to leverage on unsupervised machine learning techniques to segment their customers. This enables organisations to have a more tailored approach to their customers, identify market growth opportunities and gain competitive advantage. |
Descrição: | Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics |
URI: | http://hdl.handle.net/10362/89468 |
Designação: | Mestrado em Métodos Analíticos Avançados |
Aparece nas colecções: | NIMS - Dissertações de Mestrado em Ciência de Dados e Métodos Analíticos Avançados (Data Science and Advanced Analytics) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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TAA0043.pdf | 1,1 MB | Adobe PDF | Ver/Abrir |
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