Analytics as a Service: Cloud Computing and the Trans-formation of Business Analytics Business Models and Ecosystems

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Etat: Public
Version: Final published version
ID Serval
serval:BIB_FA8171E6E98F
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Analytics as a Service: Cloud Computing and the Trans-formation of Business Analytics Business Models and Ecosystems
Titre de la conférence
Proceedings of the 25th European Conference on Information Systems (ECIS 2017)
Auteur⸱e⸱s
Naous D., Schwarz J., Legner C.
Adresse
Guimarães, Portugal
ISBN
978-0-9915567-0-0
Statut éditorial
Publié
Date de publication
05/06/2017
Peer-reviewed
Oui
Langue
anglais
Résumé
Due to the growth of data volumes, volatility and variety, business analytics (BA) become an essential driver of today’s business strategies. However, BA is mainly adopted by large enterprises because it may require a complex and costly infrastructure. As many companies strive to make better use of their data and to adopt data-driven management paradigms, cloud computing has been discussed as a costeffective approach to BA implementation challenges. To date, there has been little attention on the emerging class of analytical cloud services, “Analytics as a service” (AaaS). This article aims at demarcating AaaS as a cloud offering through an explorative research approach based on multiple case studies. Based on the analysis of 28 AaaS offerings, we derive a classification scheme for AaaS business model configurations and derive five business model archetypes. We discuss cloud computing’s implications on the business analytics ecosystem where partner networks play an important role at all levels. By clarifying the definition and characteristics of AaaS business models, our study contributes to the ‘Theory for Analyzing’ that lays the groundwork for future research.
Mots-clé
business analytics, analytics as a service (AaaS), business models, business analytics eco-system, cloud computing
Création de la notice
03/07/2017 22:30
Dernière modification de la notice
21/08/2019 6:11
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