Tesi etd-06272023-091838 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
TRAINA, GIADA
URN
etd-06272023-091838
Titolo
Supply chain data management project with no regression constraint
Dipartimento
INFORMATICA
Corso di studi
DATA SCIENCE AND BUSINESS INFORMATICS
Relatori
relatore Prof. Ghelli, Giorgio
Parole chiave
- business intelligence
- data
- end-to-end implementation
- gap analysis
- supply chain
Data inizio appello
21/07/2023
Consultabilità
Non consultabile
Data di rilascio
21/07/2093
Riassunto
The aim of the thesis is to describe the methods of analysis and integration of new data that
come from a new source system, maintaining a no-regression constraint with respect to reporting
existing systems.
In particular, the thesis will illustrate the methods of analyzing new data sources, how data is changed by highlighting any analytical gaps, and the technical tools used for guarantee the correct modeling and integration of the data, with a focus on the development of an end-to-end implementation requested by the customer.
come from a new source system, maintaining a no-regression constraint with respect to reporting
existing systems.
In particular, the thesis will illustrate the methods of analyzing new data sources, how data is changed by highlighting any analytical gaps, and the technical tools used for guarantee the correct modeling and integration of the data, with a focus on the development of an end-to-end implementation requested by the customer.
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