Paper Info
Title
Using Quantitative Analyses to Construct a Capability Maturity Model for Business Intelligence
Abstract
One important means to explore the strengths and weaknesses of Business Intelligence (BI) initiatives is a comprehensive and accurate BI maturity assessment instrument. It is important that the assessment instrument is transparently developed using the current BI knowledge base. This paper proposes a BI maturity model that is based on an explicit BI maturity concept and using empirical data. The data is transformed into maturity levels by applying the Rasch algorithm and cluster analysis. The resulting BI maturity model is constructed on the basis of 58 items (capabilities). It is comprised of five levels that we choose to label "initiate","harmonize", "integrate", "optimize" and"perpetuate". An evaluation of the model demonstrates its utility.
Year
DOI
Venue
2012
10.1109/HICSS.2012.630
HICSS
Keywords
Field
DocType
capability maturity model,current bi knowledge base,rasch algorithm,maturity level,explicit bi maturity concept,bi maturity model,quantitative analyses,important mean,assessment instrument,accurate bi maturity assessment,empirical data,business intelligence,cluster analysis,bismuth,estimation theory,knowledge base,algorithm design and analysis,organizations,algorithm design,maturity model,competitive intelligence,management information systems,clustering algorithms
Data science,Competitive intelligence,Information management,Computer science,Service Integration Maturity Model,Capability Maturity Model,Knowledge management,Knowledge base,Business intelligence,Rasch model,Strengths and weaknesses,Operations management
Conference
Citations 
PageRank 
References 
9
0.51
22
Authors
3
Name
Order
Citations
PageRank
David Raber1171.74
Robert Winter240039.82
Felix Wortmann324030.55