Business Intelligence in Demand Forecasting: the case of Procter & Gamble

Gaia Ferrero

Business Intelligence in Demand Forecasting: the case of Procter & Gamble.

Rel. Maurizio Schenone. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Della Produzione Industriale E Dell'Innovazione Tecnologica, 2020

Abstract:	This thesis investigates the role of Business Intelligence in the forecasting process, especially for companies operating in the Fast-Moving Consumer Goods Industry. A case study based on the working experience at Procter & Gamble is presented and specific improvements to the process and tools used together with their results are discussed.
Relators:	Maurizio Schenone
Academic year:	2020/21
Publication type:	Electronic
Number of Pages:	102
Additional Information:	Tesi secretata. Fulltext non presente
Subjects:
Corso di laurea:	Corso di laurea magistrale in Ingegneria Della Produzione Industriale E Dell'Innovazione Tecnologica
Classe di laurea:	New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Ente in cotutela:	Institut de Preparation a l'Administration et a la Gestion - IPAG (FRANCIA)
Aziende collaboratrici:	UNSPECIFIED
URI:	http://webthesis.biblio.polito.it/id/eprint/16543

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