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Customer clustering in the health insurance industry by means of unsupervised machine learning
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| 1.08 MB | Adobe PDF |
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Resumo(s)
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
Palavras-chave
Segmentation Clustering Customer Analytics Customer Clustering Customer Segmentation Insurance Unsupervised learning KMeans Decision Trees Data Mining Customer Behaviour Health Insurance