Carlos Andres Novoa Dita
Implementation of a Business Intelligence Solution in a Manufacturing Company: A Predictive Analysis Approach.
Rel. Luca Settineri. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2019
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Abstract: |
In order to have an excellent performance in the future, the companies must analyze in a meticulously way their historical data to understand the past and current behavior of their customers. The principal problem of this lies in the immeasurable amount of information that is usually generated every day (Big Data). With the aim of solving the problem mentioned above, most organizations are using Business Intelligence (BI) Tools for managing their data. BI helps companies to convert raw data in value information. Currently, many BI Platforms are implementing Predictive Analytics Tools to improve the accuracy of their forecasting process. Thus allow an enhance the performance of their customer’s decision-making process. The objective of this work is to implement BI solution in a manufacturing company, with a particular focus on the Predictive Analysis in order to which stand how it can improve the decision-making process and help in the decisions relating to the operational level. |
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Relators: | Luca Settineri |
Academic year: | 2019/20 |
Publication type: | Electronic |
Number of Pages: | 95 |
Subjects: | |
Corso di laurea: | Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management) |
Classe di laurea: | New organization > Master science > LM-31 - MANAGEMENT ENGINEERING |
Aziende collaboratrici: | Bios Management Srl |
URI: | http://webthesis.biblio.polito.it/id/eprint/12669 |
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