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Table of contents
1 Introduction
1.1 Background
1.1.1 Information quality as a critical success factors of BI
1.2 Problem discussion
1.3 Research objectives and questions
1.4 Interested stakeholders
1.5 Delimitation
1.6 Definitions
2 Methodology
2.1 Research approach
2.2 Research design
2.2.1 Research purpose
2.2.2 Research strategy
2.2.3 Method
2.2.4 Time horizon
2.3. Literature sources
2.4 Data collection
2.4.1 Selection of respondents
2.4.2 Interviews
2.5 Analysis
2.5.1 Transcribing qualitative data
2.5.2 Qualitative analysis
2.6 Research credibility
2.6.1 Reliability
2.6.2 Validity
3 Theoritical frame of reference
3.1 Business intelligence
3.1.1 History
3.1.2 Deinition of BI
3.1.3 components of BI
3.2 BI support for decision making
3.3 Definition of data and information quality
3.3.1 Information quality
3.3.2 Data quality
3.3.3 Relationship between data and information
3.4 Evaluation of information quality
3.4.1 Framework of Strong et al. (1997)
3.4.2 Framework of Lui and Chi (2002)
3.4.3 Framework of Helfert et al. (2002)
3.4.4 Result of information quality assessment
4 Empirical findings
4.1 About the BI unit
4.1.1 Business analyzers
4.1.2 Metadata team
4.1.3 Data warehouse team
4.1.4 OLAP team
4.1.5 Information delivery team
4.2 Areas and benefits of using BI system
4.3 BI architecture
4.4 Reasons and affects of poor information quality (BI developer perspective)
4.5 influences of poor information quality (Business perspective)
5 Analysis
5.1 Areas and benefits of using BI system
5.2 Issues affecting the quality of information
5.3 influences of poor information quality (BI developer perspective)
5.4 influences of poor information quality (Business perspective)
5.5 importance of documentation (additional analysis)
5.6 summary of the analysis
6 Conclusion
7 Discussion
List of references
