Data, information and analytics as services

doi:10.1016/j.dss.2012.05.044

Data, information and analytics as services

2013-04-01

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AI

DOI：10.1016/j.dss.2012.05.044

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While organizations are trying to become more agile to better respond to market changes in the midst of rapidly globalizing competition by adopting service orientation-commoditization of business processes, architectures, software, infrastructures and platforms-they are also facing new challenges. In this article, we provide a conceptual framework for service oriented managerial decision making process, and briefly explain the potential impact of service oriented architecture (SOA) and cloud computing on data, information and analytics. Today, SOA, cloud computing, Web 2.0 and Web 3.0 are converging, and transforming the information technology ecosystem for the better while imposing new complexities. With this convergence, a large amount of structured and unstructured data is being created and shared over disparate networks and virtual communities. To cope and/or to take advantage of these changes, we are in need of finding new and more efficient ways to collect, store, transform, share, utilize and dispose data, information and analytics. (C) 2012 Elsevier B.V. All rights reserved.

Keyword:

Service-orientation

Cloud computing

Data-as-a-service

Information-as-a-service

Analytics-as-a-service

Agile analytics

Business analytics

Data, information and analytics as services

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