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Business Intelligence and Analytics: From Big Data to Big Impact
by
Storey, Veda C.
, Chen, Hsinchun
, Chiang, Roger H. L.
in
Analytics
/ Betriebliches Informationssystem
/ Big data
/ Business intelligence
/ Computer analysis
/ Data Mining
/ Information technology
/ Modeling
/ Social media
/ Social Web
/ Special Issue: Business Intelligence Research
/ Text analytics
/ USA
/ Web analytics
2012
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Business Intelligence and Analytics: From Big Data to Big Impact
by
Storey, Veda C.
, Chen, Hsinchun
, Chiang, Roger H. L.
in
Analytics
/ Betriebliches Informationssystem
/ Big data
/ Business intelligence
/ Computer analysis
/ Data Mining
/ Information technology
/ Modeling
/ Social media
/ Social Web
/ Special Issue: Business Intelligence Research
/ Text analytics
/ USA
/ Web analytics
2012
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Do you wish to request the book?
Business Intelligence and Analytics: From Big Data to Big Impact
by
Storey, Veda C.
, Chen, Hsinchun
, Chiang, Roger H. L.
in
Analytics
/ Betriebliches Informationssystem
/ Big data
/ Business intelligence
/ Computer analysis
/ Data Mining
/ Information technology
/ Modeling
/ Social media
/ Social Web
/ Special Issue: Business Intelligence Research
/ Text analytics
/ USA
/ Web analytics
2012
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Business Intelligence and Analytics: From Big Data to Big Impact
Journal Article
Business Intelligence and Analytics: From Big Data to Big Impact
2012
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Overview
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 identifles 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.
Publisher
Management Information Systems Research Center, University of Minnesota,Soc
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