Using Quantitative Analyses to Construct a Capability Maturity Model for Business Intelligence
ISBN
978-0-7695-4525-7
Type
book section
Date Issued
2012
Author(s)
Research Team
IWI1
Abstract
One important means to explore the strengths andweaknesses of Business Intelligence (BI) initiatives is acomprehensive and accurate BI maturity assessmentinstrument. It is important that the assessment instrumentis transparently developed using the current BIknowledge base. This paper proposes a BI maturitymodel that is based on an explicit BI maturity conceptand using empirical data. The data is transformed intomaturity levels by applying the Rasch algorithm andcluster analysis. The resulting BI maturity model isconstructed on the basis of 58 items (capabilities). It iscomprised of five levels that we choose to label initiate,harmonize, integrate, optimize andperpetuate. An evaluation of the model demonstratesits utility.
Language
English
HSG Classification
not classified
Refereed
No
Book title
Proceedings of the 45th Hawaii International Conference on System Sciences 2012 (HICSS-45)
Publisher
IEEE Computer Society
Publisher place
Los Alamitos
Start page
4219
End page
4228
Pages
10
Event Title
45th Hawaii International Conference on System Sciences 2012 (HICSS-45)
Event Location
Grand Wailea, Maui
Event Date
04.-07.01.2012
Subject(s)
Eprints ID
217044