Abstract
Prescriptive analytics, a type of complex business analytics, aims to suggest the best among various decision options to benefit from the predicted future using large amounts of data. In this process, prescriptive analytics combines the output of predictive analytics and uses artificial intelligence, optimization algorithms, and expert systems to provide adaptive, automated, constrained, time-bound, and optimal decisions, thus having the potential to bring the greatest intelligence and value to businesses.
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Reference
Lepenioti K, Bousdekis A, Apostolou D, Mentzas G (2020) Prescriptive analytics: literature review and research challenges. Int J Inf Manage 50:57–70
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Alkan, N., Menguc, K., Kabak, Ö. (2022). Prescriptive Analytics: Optimization and Modeling. In: Ustundag, A., Cevikcan, E., Beyca, O.F. (eds) Business Analytics for Professionals. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-93823-9_9
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DOI: https://doi.org/10.1007/978-3-030-93823-9_9
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