Scenario analysis, from BigData to black swan

Marwan Batrouni (1) , Aurélie Bertaux (2) , Christophe Nicolle (1)

1 UBFC - Université Bourgogne Franche-Comté [COMUE]
2 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]

Scenario analysis is a set of methodologies and techniques with the goal of generating strategic insight for decision and policy makers. Our aim for this paper is to overview the scenario analysis field in relation to the relatively new paradigms of BigData. The purpose of such an effort is to clarify where scenario analysis stands today relative to the myriad of data analytics approaches. In an era where the hype about BigData is growing at a breakneck speed, what role scenario analysis can still play? And what kind of synergy it can use to leverage the advances made in other forecasting methods? This paper tries to provide some elements for an answer. (C) 2018 Elsevier Inc. All rights reserved. Keywords

Mots clés: BigData; Scenario analysis; Black swan; Semantic web

Domaines: Informatique [cs]

Marwan Batrouni, Aurélie Bertaux, Christophe Nicolle. Scenario analysis, from BigData to black swan. Computer Science Review, 2018, 28, pp.131 - 139. ⟨10.1016/j.cosrev.2018.02.001⟩. ⟨hal-01860747⟩