Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/162768
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Campo DCValorIdioma
dc.contributor.advisorBelo, Rodrigo-
dc.contributor.authorNomura, Felippe Yuji-
dc.date.accessioned2024-01-26T14:13:42Z-
dc.date.available2025-02-18T01:31:26Z-
dc.date.issued2023-01-19-
dc.date.submitted2023-02-18-
dc.identifier.urihttp://hdl.handle.net/10362/162768-
dc.description.abstractIn corporate life, one of the many struggles that companies encounter is how to organize planning with respect to the past inspection and foreseeable outcomes. In this paper, several approaches to aid and advice the company Oceano Fresco are documented. These approaches include operations to assist them to organize their file structures, analyzing the data to observe patterns, simulations to mimic possible outcomes, and forecasting to have a better understanding regarding upcoming periods.pt_PT
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.rightsopenAccesspt_PT
dc.subjectSustainable foodpt_PT
dc.subjectSimulationpt_PT
dc.subjectForecastingpt_PT
dc.subjectData visualizationpt_PT
dc.titleForecasting and analysis for Oceano fresco-s sustainable food production - data visualization for decision-makingpt_PT
dc.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economicspt_PT
dc.identifier.tid203314646pt_PT
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopt_PT
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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