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Business Intelligence solution for finance department

Francesco Secci

Business Intelligence solution for finance department.

Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021


This document is the result of a project carried out in a corporate environment that consists in the implementation of a data warehouse and a reporting solution within a review and renewal program for a client. It explains and addresses the various steps of the processes implemented and technologies used to transform data from transactional systems into useful information to support business functions and decisions. Starting from the ELT framework implemented in Python for the extraction, processing and historicizing of data, to the ETL processes implemented in QLik Sense for the extraction and loading of data from the database to the data analytics platform. Then it is followed by the presentation of a Qlik Sense App in a specific business area and general analysis about the monitoring and performances of frameworks and tasks implemented.

Relators: Paolo Garza
Academic year: 2021/22
Publication type: Electronic
Number of Pages: 86
Additional Information: Tesi secretata. Fulltext non presente
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: KPMG Advisory S.p.A.
URI: http://webthesis.biblio.polito.it/id/eprint/21220
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