Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud

Haluk Demirkan, Dursun Delen

Research output: Contribution to journalArticle

324 Scopus citations

Abstract

Using service-oriented decision support systems (DSS in cloud) is one of the major trends for many organizations in hopes of becoming more agile. In this paper, after defining a list of requirements for service-oriented DSS, we propose a conceptual framework for DSS in cloud, and discus about research directions. A unique contribution of this paper is its perspective on how to servitize the product oriented DSS environment, and demonstrate the opportunities and challenges of engineering service oriented DSS in cloud. When we define data, information and analytics as services, we see that traditional measurement mechanisms, which are mainly time and cost driven, do not work well. Organizations need to consider value of service level and quality in addition to the cost and duration of delivered services. DSS in CLOUD enables scale, scope and speed economies. This article contributes new knowledge in service science by tying the information technology strategy perspectives to the database and design science perspectives for a broader audience.

Original languageEnglish
Pages (from-to)412-421
Number of pages10
JournalDecision Support Systems
Volume55
Issue number1
DOIs
StatePublished - 1 Apr 2013
Externally publishedYes

Keywords

  • Analytics-as-a-service
  • Big data
  • Cloud computing
  • Data-as-a-service
  • Information-as-a-service
  • Service orientation
  • Service science

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