Business Intelligence and Big Data in the Cloud: Opportunities for Design-Science Researchers
- 1 January 2014
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
Cloud computing and big data offer new opportunities for business intelligence (BI) and analytics. However, traditional techniques, models, and methods must be redefined to provide decision makers with service of data analysis through the cloud and from big data. This situation creates opportunities for research and more specifically for design-science research. In this paper, we propose a typology of artifacts potentially produced by researchers in design science. Then, we analyze the state of the art through this typology. Finally, we use the typology to sketch opportunities of new research to improve BI and analytics capabilities in the cloud and from big data.Keywords
This publication has 19 references indexed in Scilit:
- A method for taxonomy development and its application in information systemsEuropean Journal of Information Systems, 2013
- The brave new world of design requirementsInformation Systems, 2011
- Design Theory for Dynamic Complexity in Information Infrastructures: The Case of Building InternetJournal of Information Technology, 2010
- Artifact Types in Information Systems Design Science – A Literature ReviewLecture Notes in Computer Science, 2010
- Method Chunks Selection by Multicriteria Techniques: an Extension of the Assembly-based ApproachPublished by Springer Science and Business Media LLC ,2007
- Design Science in Information Systems ResearchMIS Quarterly, 2004
- Special Issue: Enhancing Organizations’ Intellectual Bandwidth: The Quest for Fast and Effective Value CreationJournal of Management Information Systems, 2000
- Design of embedded systems: formal models, validation, and synthesisProceedings of the IEEE, 1997
- Design and natural science research on information technologyDecision Support Systems, 1995
- A translation approach to portable ontology specificationsKnowledge Acquisition, 1993