BUSINESS INTELLIGENCE AND ANALYTICS:
FROM BIG DATA TO BIG IMPACT
Hsinchun Chen
Eller College of Management, University of Arizona,
Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu}
Roger H. L. Chiang
Carl H. Lindner College of Business, University of Cincinnati,
Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu}
Veda C. Storey
J. Mack Robinson College of Business, Georgia State University,
Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu}
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.
Keywords: Business intelligence and analytics, big data analytics, Web 2.0
Introduction
Business intelligence and analytics (BI&A) and the related field of big data analytics have become increasingly important in both the academic and the business communities over the past two decades. Industry studies have highlighted this significant development. For example, based on a survey of over 4,000 information technology (IT) professionals from 93 countries and 25
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