Business Intelligence and Analytics: From Big Data to Big Impact

Hsinchun Chen; Roger H.L. Chiang; Veda C. Storey

doi:10.2307/41703503

Business Intelligence and Analytics: From Big Data to Big Impact

Hsinchun Chen¹; Roger H.L. Chiang²; Veda C. Storey³

¹ Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. · ² Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. · ³ J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A.

MIS Quarterly 2012

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.

DOI: 10.2307/41703503
Volume: 36 (4)
Pages: 1165-1188
Language: en
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