Tutorial: Business intelligence - Past, present, and future

被引：0

作者：

Watson, Hugh J. ^{[1
]}

机构：

[1] Department of MIS, University of Georgia

来源：

Communications of the Association for Information Systems | 2009年 / 25卷 / 01期

关键词：

Business intelligence; Data analysis; Decision support systems;

D O I：

10.17705/1cais.02539

中图分类号：

学科分类号：

摘要：

Business intelligence (BI) is a broad category of applications, technologies, and processes for gathering, storing, accessing, and analyzing data to help business users make better decisions. This tutorial discusses some of the early, lanDMark contributions to BI; describes a comprehensive, generic BI environment; and discusses four important BI trends: scalability, pervasive BI, operational BI, and the BI based organization. It also identifies BI resources that are available for faculty and students. © 2009 by the authors.

引用

页码：487 / 510

页数：23

共 41 条

[1]

Alter S.L., A Study of Computer Aided Decision Making In Organizations, (1975)

[2]

Alter S.L., Decision Support Systems: Current Practice and Continuing Challenge, (1980)

[3]

Ariyachandra T., Watson H.J., Which Data Warehouse Architecture Is Most Successful?, Business Intelligence Journal, 11, 1, pp. 4-6, (2006)

[4]

Avery K.L., Watson H.J., Training Data Warehouse End Users, Business Intelligence Journal, 9, 4, pp. 40-51, (2004)

[5]

Breslin M., Data Warehousing Battle of Giants: Comparing the Basics of the Kimball and Inmon Models, Business Intelligence Journal, 9, 1, pp. 6-20, (2004)

[6]

Davenport T., Competing on Analytics, Harvard Business Review, 84, 1, pp. 98-107, (2006)

[7]

Eckerson W.W., Post-Chasm Warehousing, Journal of Data Warehousing, 3, 3, pp. 38-45, (1998)

[8]

Eckerson W., The Decision Support Sweet Spot, Journal of Data Warehousing, 7, 3, pp. 4-9, (2002)

[9]

Eckerson W., Data Profiling: A Tool Worth Buying (Really), DM Review, 14, 6, pp. 28-31, (2004)

[10]

Eckerson W.W., Pervasive Business Intelligence, (2008)

← 1 2 3 4 5 →