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O papel da análise do big data na sustentabilidade : caso de estudo: Amcor
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A crescente disponibilidade de dados incentivou as empresas a utilizá-los de forma estratégica, com o Big Data Analytics (BDA) a emergir como uma ferramenta chave para decisões orientadas por dados. Paralelamente, face às crescentes pressões ambientais, a sustentabilidade tornou-se um elemento central nas estratégias empresariais. É neste ponto de interceção que se enquadra a presente investigação, analisando como a análise do Big Data (BD) pode impulsionar decisões sustentáveis e promover a economia circular. Com base no caso de estudo da empresa Amcor, líder no setor das embalagens, investigou-se o papel estratégico do BD na sustentabilidade, com particular foco numa ferramenta de BDA, desenvolvida para avaliar e otimizar o impacto ambiental dos produtos. A metodologia adotada foi qualitativa e exploratória, assente na realização de entrevistas semiestruturadas a profissionais da empresa. As principais conclusões evidenciam que o BD, quando interpretado através de ferramentas analíticas avançadas, atua como um catalisador da transformação organizacional, ao permitir decisões mais conscientes e baseadas em evidências. Contudo, subsistem desafios técnicos e operacionais que exigem investigação e desenvolvimento contínuo, essenciais para que o potencial do BD seja efetivamente aplicado na criação de modelos de negócios sustentáveis.
The growing availability of data has encouraged companies to use it strategically, with Big Data Analytics (BDA) emerging as a key tool for data driven decision-making. At the same time, in response to increasing environmental pressures, sustainability has become a central element in corporate strategies. It is at this point of intersection that the present research is situated, analyzing how Big Data (BD) analysis can drive sustainable decisions and promote the circular economy. Based on a case study of Amcor, a leading company in the packaging sector, the research explored the strategic role of BD in sustainability, with a particular focus on a BDA tool developed to assess and optimize the environmental impact of products. The methodology adopted was qualitative and exploratory, based on semi-structures interviews with company employees. The main findings show that BD, when interpreted through advanced analytical tools, acts as a catalyst for organizational transformation, by enabling more conscious and evidence-based decision-making. However, technical and operational challenges remain, requiring ongoing research and development, which are essential to effectively harness the potential of BD in the creation of sustainable business models.
The growing availability of data has encouraged companies to use it strategically, with Big Data Analytics (BDA) emerging as a key tool for data driven decision-making. At the same time, in response to increasing environmental pressures, sustainability has become a central element in corporate strategies. It is at this point of intersection that the present research is situated, analyzing how Big Data (BD) analysis can drive sustainable decisions and promote the circular economy. Based on a case study of Amcor, a leading company in the packaging sector, the research explored the strategic role of BD in sustainability, with a particular focus on a BDA tool developed to assess and optimize the environmental impact of products. The methodology adopted was qualitative and exploratory, based on semi-structures interviews with company employees. The main findings show that BD, when interpreted through advanced analytical tools, acts as a catalyst for organizational transformation, by enabling more conscious and evidence-based decision-making. However, technical and operational challenges remain, requiring ongoing research and development, which are essential to effectively harness the potential of BD in the creation of sustainable business models.
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Big data Big data analytics Inovação sustentável Economia circular Sustainable innovation Circular economy
Contexto Educativo
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Licença CC
Sem licença CC