IS

Chiang, Roger H. L.

Topic Weight Topic Terms
0.233 research researchers framework future information systems important present agenda identify areas provide understanding contributions using
0.180 intelligence business discovery framework text knowledge new existing visualization based analyzing mining genetic algorithms related
0.144 research journals journal information systems articles academic published business mis faculty discipline analysis publication management
0.114 data predictive analytics sharing big using modeling set power inference behavior explanatory related prediction statistical

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Chen, Hsinchun 1 Storey, Veda C. 1
big data analytics 1 Business intelligence and analytics 1 Web 2.0 1

Articles (1)

BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT. (MIS Quarterly, 2012)
Authors: Abstract:
    Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework.