Analytics as a service : Framework to Assess Whether There Is Any Winning Value Proposition

DOI

10.2991/isclo-15.2016.49How to use a DOI?

Keywords

Analytics, Analytic-as-a-Service, Big data, Framework, Value proposition, Business Model.

Abstract

A firm learns through analytics. Analytic which started as business intelligence two decades ago has turned the firm into data driven companies. Analytic metamorphoses it self into service where the term analytics-as-a-service (AaaS) comes from. Analytics that are provided by consultant to a firm - to solve analytics need of the firm with their data - in a state-of-the-art manner shows up into a business model. Analytics-as-a-service value proposition serves clients with analytics on demand, where the clients pay for the use of analytical solutions as a service from cloud service providers. The value propositions converged into three group of characteristics : hosting, full stack, and expose. While the AaaS is evolving into more and more commoditized service, it poses intriguing question whether any of the three value proposition characterizing the business model will come a winner. This article brings out the spectrum of the offering with regard to AaaS how they are offered, and proposes a framework where a company can use to asses the winning business model of the said services.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gadang Ramantoko
AU  - Tri Widarmanti
PY  - 2016/03
DA  - 2016/03
TI  - Analytics as a service : Framework to Assess Whether There Is Any Winning Value Proposition
BT  - Proceedings of the 3rd International Seminar and Conference on Learning Organization (isclo-15)
PB  - Atlantis Press
SP  - 265
EP  - 271
SN  - 2352-5398
UR  - https://doi.org/10.2991/isclo-15.2016.49
DO  - 10.2991/isclo-15.2016.49
ID  - Ramantoko2016/03
ER  -