A Framework for Building Mature Business Intelligence and Analytics in Organizations

被引:9
|
作者
George, Amrita [1 ]
Schmitz, Kurt [2 ]
Storey, Veda C. [2 ,3 ]
机构
[1] Marquette Univ, Management, Coll Business, Milwaukee, WI 53233 USA
[2] Georgia State Univ, Comp Informat Syst, J Mack Robinson Coll Business, Atlanta, GA 30303 USA
[3] Georgia State Univ, Comp Sci, J Mack Robinson Coll Business, Atlanta, GA 30303 USA
关键词
Analytics; Analytics Adoption Stages; Aspirational; BI&A Competitive Advantage Maturity Model; Business Intelligence; Citation Analysis; Content Analysis; Delphi Study; Descriptive; Design Science Research; Experienced; Maturity Model; Predictive; Prescriptive; Transformed; Work Systems Theory; BIG DATA ANALYTICS; INFORMATION-SYSTEMS; DESIGN-SCIENCE; ARTIFICIAL-INTELLIGENCE; MANAGEMENT; MODEL; TECHNOLOGIES; CHALLENGES; KNOWLEDGE; SUCCESS;
D O I
10.4018/JDM.2020070102
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As activities are increasingly being digitalized in business and society, organizations have sought ways to effectively and competitively, use data. Business intelligence and analytics (BI&A) systems which support managerial decision-making continue to be developed and used. Given the importance of these systems, it would be useful to have a comprehensive and mature guide to support their development and improvement. This research proposes a BI&A Competitive Advantage Maturity Model to identify the main technical and non-technical dimensions of a system to support business intelligence and analysis. The model is based on work systems theory and related research. It maps descriptive characteristics of its main dimensions across analytic adoption stages of aspirational, experienced, and transformed. The development of the model employed a modified Delphi study technique, design science research, and citation analysis.
引用
收藏
页码:14 / 39
页数:26
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