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• W2765501002 abstract "Big Data may introduce new opportunities, and for this reason it has become a mantra among most industries. This paper focuses on examining how to develop cost and sustainable reporting by utilizing Big Data that covers economic values, production volumes, and emission information. We assume strongly that this use supports cleaner production, while at the same time offers more information for revenue and profitability development. We argue that Big Data brings company-wide business benefits if data queries and interfaces are built to be interactive, intuitive, and user-friendly. The amount of information related to operations, costs, emissions, and the supply chain would increase enormously if Big Data was used in various manufacturing industries. It is essential to expose the relevant correlations between different attributes and data fields. Proper algorithm design and programming are key to making the most of Big Data. This paper introduces ideas on how to refine raw data into valuable information, which can serve many types of end users, decision makers, and even external auditors. Concrete examples are given through an industrial paper mill case, which covers environmental aspects, cost-efficiency management, and process design." @default.
• W2765501002 created "2017-11-10" @default.
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• W2765501002 date "2017-11-01" @default.
• W2765501002 modified "2023-09-23" @default.
• W2765501002 title "How to Generate Economic and Sustainability Reports from Big Data? Qualifications of Process Industry" @default.
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• W2765501002 doi "https://doi.org/10.3390/pr5040064" @default.
• W2765501002 hasPublicationYear "2017" @default.
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