Publicação

-Samsung field lab voids: impact of demand forecasting accuracy improvement on shareholder value creation.-

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Detalhes bibliográficos
Resumo:VOIDS is a data science student entrepreneurial project that aims to integrate marketing into demand planning, helping companies to achieve the most accurate way of planning and shaping future demand. The following work applies this vision in a lean agile start-up framework, implementing state-of-the-art deep learning time series forecasting techniques in the business context of the global consumer electronic brand Samsung. Evaluation results reveal significant shareholder value creation potential driven by double-digit improvement in forecasting accuracy. Resulting in improvements of VOIDS stakeholder key-performance-indicators, mainly due to increase in net-operating-profit resulting from top and bottom-line improvements and positive capital impacts.
Autores principais:Semmelhaack, Jannik
Assunto:Marketing Business analytics Demand planning Saas Shareholder value
Ano:2022
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso embargado
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:VOIDS is a data science student entrepreneurial project that aims to integrate marketing into demand planning, helping companies to achieve the most accurate way of planning and shaping future demand. The following work applies this vision in a lean agile start-up framework, implementing state-of-the-art deep learning time series forecasting techniques in the business context of the global consumer electronic brand Samsung. Evaluation results reveal significant shareholder value creation potential driven by double-digit improvement in forecasting accuracy. Resulting in improvements of VOIDS stakeholder key-performance-indicators, mainly due to increase in net-operating-profit resulting from top and bottom-line improvements and positive capital impacts.