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2019 | OriginalPaper | Buchkapitel

Prescriptive Analytics: A Survey of Approaches and Methods

verfasst von : Katerina Lepenioti, Alexandros Bousdekis, Dimitris Apostolou, Gregoris Mentzas

Erschienen in: Business Information Systems Workshops

Verlag: Springer International Publishing

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Abstract

Data analytics has gathered a lot of attention during the last years. Although descriptive and predictive analytics have become well-established areas, prescriptive analytics has just started to emerge in an increasing rate. In this paper, we present a literature review on prescriptive analytics, we frame the prescriptive analytics lifecycle and we identify the existing research challenges on this topic. To the best of our knowledge, this is the first literature review on prescriptive analytics. Until now, prescriptive analytics applications are usually developed in an ad-hoc way with limited capabilities of adaptation to the dynamic and complex nature of today’s enterprises. Moreover, there is a loose integration with predictive analytics, something which does not enable the exploitation of the full potential of big data.

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Vorheriges Kapitel TEA - A Technology Evaluation and Adoption Influence Framework for Small and Medium Sized Enterprises

Nächstes Kapitel Challenges from Data-Driven Predictive Maintenance in Brownfield Industrial Settings

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Titel: Prescriptive Analytics: A Survey of Approaches and Methods
verfasst von: Katerina Lepenioti
Alexandros Bousdekis
Dimitris Apostolou
Gregoris Mentzas
Verlag: Springer International Publishing
Buch: Business Information Systems Workshops
Print ISBN: 978-3-030-04848-8

Electronic ISBN: 978-3-030-04849-5

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-04849-5_39

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