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Abstract
The project carried out in this thesis focuses on the creation of a Data Mart tailored for the HR department of Amadori, one of the most important companies in the Italian agribusiness sector. The main objective is to improve human resource management through a business intelligence solution. What makes the Data Mart implementation complex is the challenge posed by the
sensitivity of the data being processed, including salary information. To address this challenge, a demand-driven approach was taken to meet the department’s needs, focusing on defining and satisfying information needs. The project includes the analysis of business needs, the design of the Data Mart’s concept, the development of ETL processes, the creation of user-friendly interactive reports, and the use of MicroStrategy for data visualization as an integral part of the solution
Abstract
The project carried out in this thesis focuses on the creation of a Data Mart tailored for the HR department of Amadori, one of the most important companies in the Italian agribusiness sector. The main objective is to improve human resource management through a business intelligence solution. What makes the Data Mart implementation complex is the challenge posed by the
sensitivity of the data being processed, including salary information. To address this challenge, a demand-driven approach was taken to meet the department’s needs, focusing on defining and satisfying information needs. The project includes the analysis of business needs, the design of the Data Mart’s concept, the development of ETL processes, the creation of user-friendly interactive reports, and the use of MicroStrategy for data visualization as an integral part of the solution
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Dell'Orletta, Federica
Relatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Data Mart,Business Intelligence,Data Warehouse,Analytical reporting,Digital Transformation
Data di discussione della Tesi
14 Settembre 2023
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Dell'Orletta, Federica
Relatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Data Mart,Business Intelligence,Data Warehouse,Analytical reporting,Digital Transformation
Data di discussione della Tesi
14 Settembre 2023
URI
Gestione del documento: