The dissertation aims to provide an insight into what it means to apply statistical methods (particulary machine learning) inside a large company. The thesis will firstly expose the topic of data inside the company as well as the structure of the company, especially the food service segment, then cover topics mainly concerning Cluster Analysis and Survival Analysis applied to the Italian customer base in order to obtain useful results for the company. Lastly it will conclude with a few remarks about the results found, their limitations, and possible future developments

The dissertation aims to provide an insight into what it means to apply statistical methods (particulary machine learning) inside a large company. The thesis will firstly expose the topic of data inside the company as well as the structure of the company, especially the food service segment, then cover topics mainly concerning Cluster Analysis and Survival Analysis applied to the Italian customer base in order to obtain useful results for the company. Lastly it will conclude with a few remarks about the results found, their limitations, and possible future developments

Exploratory Data Analysis and Machine Learning in Lavazza

CANETTI, ALESSIO
2023/2024

Abstract

The dissertation aims to provide an insight into what it means to apply statistical methods (particulary machine learning) inside a large company. The thesis will firstly expose the topic of data inside the company as well as the structure of the company, especially the food service segment, then cover topics mainly concerning Cluster Analysis and Survival Analysis applied to the Italian customer base in order to obtain useful results for the company. Lastly it will conclude with a few remarks about the results found, their limitations, and possible future developments
Exploratory Data Analysis and Machine Learning in Lavazza
The dissertation aims to provide an insight into what it means to apply statistical methods (particulary machine learning) inside a large company. The thesis will firstly expose the topic of data inside the company as well as the structure of the company, especially the food service segment, then cover topics mainly concerning Cluster Analysis and Survival Analysis applied to the Italian customer base in order to obtain useful results for the company. Lastly it will conclude with a few remarks about the results found, their limitations, and possible future developments
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14240/9351