Business intelligence and analytics: From big data to big impact

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

Research output: Contribution to journalArticle

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.

LanguageEnglish (US)
Pages1165-1188
Number of pages24
JournalMIS Quarterly: Management Information Systems
Volume36
Issue number4
StatePublished - 2012

Fingerprint

Competitive intelligence
Management information systems
Big data
Business intelligence
Industry
Education
Business organization
Bibliometrics

Keywords

  • Big data analytics
  • Business intelligence and analytics
  • Web 2.0

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Management Information Systems

Cite this

Business intelligence and analytics : From big data to big impact. / Chen, Hsinchun; Chiang, Roger H L; Storey, Veda C.

In: MIS Quarterly: Management Information Systems, Vol. 36, No. 4, 2012, p. 1165-1188.

Research output: Contribution to journalArticle

Chen, Hsinchun ; Chiang, Roger H L ; Storey, Veda C. / Business intelligence and analytics : From big data to big impact. In: MIS Quarterly: Management Information Systems. 2012 ; Vol. 36, No. 4. pp. 1165-1188.
@article{a15c3fc833994b8ea98eb3669567ec26,
title = "Business intelligence and analytics: From big data to big impact",
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.",
keywords = "Big data analytics, Business intelligence and analytics, Web 2.0",
author = "Hsinchun Chen and Chiang, {Roger H L} and Storey, {Veda C.}",
year = "2012",
language = "English (US)",
volume = "36",
pages = "1165--1188",
journal = "MIS Quarterly: Management Information Systems",
issn = "0276-7783",
publisher = "Management Information Systems Research Center",
number = "4",

}

TY - JOUR

T1 - Business intelligence and analytics

T2 - MIS Quarterly: Management Information Systems

AU - Chen, Hsinchun

AU - Chiang, Roger H L

AU - Storey, Veda C.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Big data analytics

KW - Business intelligence and analytics

KW - Web 2.0

UR - http://www.scopus.com/inward/record.url?scp=84916597404&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84916597404&partnerID=8YFLogxK

M3 - Article

VL - 36

SP - 1165

EP - 1188

JO - MIS Quarterly: Management Information Systems

JF - MIS Quarterly: Management Information Systems

SN - 0276-7783

IS - 4

ER -