DocumentCode :
2204002
Title :
A Framework for Identifying and Selecting Measures to Enhance BI-Agility
Author :
Baars, Henning ; Hutter, Heiko
fYear :
2015
fDate :
5-8 Jan. 2015
Firstpage :
4712
Lastpage :
4721
Abstract :
Fueled by increasingly complex and dynamic business environments, agility has risen to a strategic priority in many industries. The need to efficiently react not only to expected developments but also to unforeseen events requires responsive decision support approaches -- an agile Business Intelligence (BI). A puzzling variety of measures has been proposed for pursuing this aim -- from modified data modeling methods, over process models, up to a tool-based support of end-user development. Based on the results of a series of expert interviews with 25 companies, this paper develops a framework for a) identifying relevant measures for tackling issues of BI agility and for b) classifying them with respect to potential business impact and costs. The framework has been evaluated and fleshed out in workshops with BI experts.
Keywords :
competitive intelligence; data models; decision support systems; software tools; BI agility; business intelligence; data modelling method; decision support approach; end-user development; strategic priority; tool-based support; Bismuth; Business; Data acquisition; Data models; Industries; Memory; Phase measurement; Agile Business Intelligence; Agility; BI organization; Business Intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
ISSN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2015.561
Filename :
7070381
Link To Document :
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