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• W4378191928 abstract "Business analytics is an extensive use of data acquired from diverse sources, statistical and quantitative analysis, explainable and predictive models, and fact-based management to make better strategic decisions for different stakeholders. To be able to model complex systems holistically in such a way that they can be fed into an efficient simulation-based optimization in the sense of prescriptive analytics, approaches and solutions that go beyond state-of-the-art are required. This paper introduces the basic technologies used in prescriptive analytics and proposes secure prescriptive analytics (SPA) that is based on component-based hierarchical modeling and dynamic optimization. Each element under the SPA framework is defined and illustrated by an example of production plan optimization." @default.
• W4378191928 created "2023-05-26" @default.
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• W4378191928 date "2022-09-01" @default.
• W4378191928 modified "2023-09-25" @default.
• W4378191928 title "Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way" @default.
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• W4378191928 doi "https://doi.org/10.1109/synasc57785.2022.00009" @default.
• W4378191928 hasPublicationYear "2022" @default.
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