Business Intelligence: A Comprehensive Approach to Information Needs, Technologies and Culture

Foreword
Acknowledgements
Contents
Chapter 1: Business Intelligence: Human Issues
	1.1 Introduction
	1.2 Novelty and Originality
	1.3 The Target Audience and Benefits
	References
Chapter 2: Business Intelligence Definition and Problem Space
	2.1 The Activities of Business Intelligence
	2.2 Definitions
		2.2.1 As an Information System (Fig. 2.1)
		2.2.2 As a Cyclical Process (Fig. 2.2)
		2.2.3 As a Technology Platform or Technology Stack (Fig. 2.3)
		2.2.4 As a Value Chain of Informing Activities that Covers Issues from Simple to the Most Complex (Fig. 2.4)
	2.3 Expected Results and Benefits
		2.3.1 Difficulty in Evaluating BI Benefits
	2.4 Advanced Informing and Insights
		2.4.1 Definition of Advanced Informing, Its Positioning and Boundaries
		2.4.2 Insights
	References
Chapter 3: Business Intelligence Information Needs: Related Systems and Activities
	3.1 Information Needs
	3.2 Business Intelligence Cycle
	3.3 Business Intelligence and Related Informing Activities
		3.3.1 Business Intelligence and Management Information Systems
		3.3.2 Business Intelligence and Decision Support
		3.3.3 Business Intelligence and Competitive Intelligence
		3.3.4 Business Intelligence and Business Analytics
	3.4 Intelligence in Other Domains and Its Relation to BI
		3.4.1 Similarities with Other Domains
		3.4.2 Differences from Other Domains
	References
Chapter 4: Business Intelligence Dimensions
	4.1 The Notion of BI Dimensionality
	4.2 Business Dimensions
	4.3 Introduction to BI Dimensions
	4.4 Relations of Business and BI Dimensions
	4.5 BI Dimensions
		4.5.1 Internal and External Orientation
		4.5.2 Centralized and Decentralized BI
		4.5.3 Question Complexity
		4.5.4 Functional Scope
		4.5.5 Automation
		4.5.6 Initiative: Supply-Driven Versus Demand-Driven
		4.5.7 Velocity: Real Time Versus Right Time
	4.6 Tiered Approaches
	4.7 The Encompassing Potential of BI
	References
Chapter 5: Information Integration
	5.1 The Need for Data and Information Integration
	5.2 Data Integration
		5.2.1 Single Source of Truth
		5.2.2 Enterprise Information Integration and Enterprise Application Integration
		5.2.3 Data Quality
	5.3 The Transition from Data to Information Integration
	5.4 Information Integration and Sense Making
		5.4.1 Insight Development and Information Integration
		5.4.2 Semantics, Sense Making and Context
			Sense Making
			The Role of Context
			Have There Been Cases when Information Needs Have Been Known Beforehand? If So, What Kind of Information?
			Have there been Cases when Information Needs have not been Known Beforehand, Having Emerged Only While Making a Decision or to...
		5.4.3 IT Tools and Methods
		5.4.4 Heuristic Integration: Dataspaces
	References
Chapter 6: Management of Experience and Lessons Learned
	6.1 Terms and Definitions
		6.1.1 Terms
		6.1.2 Positioning
		6.1.3 Content
		6.1.4 Structure and Forms
	6.2 Lessons Learned Theoretical Issues
	6.3 LL Management Process
	6.4 Practical LL Management Implementation Cases, Systems and Features
	6.5 Controversies
	6.6 Empirical Research on Actual LL Management
	6.7 Concluding Remarks
	References
Chapter 7: Business Intelligence Technologies
	7.1 Overview of BI Technologies
	7.2 Data Collection and Storage
	7.3 Multidimensional Analysis, On-line Analytical Processing
	7.4 Use of Simple Self-Service Tools: Role of Excel
		7.4.1 Queries and Reporting
		7.4.2 Spreadsheets
	7.5 Business Analytics
		7.5.1 Data Mining
		7.5.2 Big Data Analytics
		7.5.3 Descriptive, Predictive and Prescriptive Analytics
			Descriptive Analytics
			Predictive Analytics
			Prescriptive Analytics
		7.5.4 Augmented Analytics
		7.5.5 Web Analytics
	7.6 Modeling and Simulation
	7.7 Text Analytics
	7.8 Presentation and Visualization
	7.9 The Role of AI
	7.10 Communication and Collaboration Platforms
	7.11 BI Technology Deployment Issues
	References
Chapter 8: Business Intelligence Maturity and Agility
	8.1 The Definitions and Focus of Business Intelligence Maturity
	8.2 Business Intelligence Maturity Models, Comparison and Limitations
	8.3 Redefinition of Business Intelligence Maturity
	8.4 Business Intelligence Agility
		8.4.1 The Notion of Agility
			Agility as Agile Development Process
			Agility as Fast Reaction
			Agility as Resilience
			Non-agile Qualities
		8.4.2 Organizational Agility, Information Agility and BI Agility
	8.5 Dynamic Capabilities Approach
	8.6 Factors Supporting and Restricting Agility
	8.7 BI Agility Management Issues
	References
Chapter 9: Business Intelligence Culture
	9.1 Human Factors in Business Intelligence
	9.2 Relation of Organizational, Information and Business Intelligence Cultures
	9.3 The Importance of Informing Activities for Organizational Culture
	9.4 The Most Common Features of Business Intelligence Culture
		9.4.1 The Importance of Information Sharing
		9.4.2 Record of Lessons and Experience
		9.4.3 Creation of an Intelligence Community
		9.4.4 Technology Management
		9.4.5 The Environment of Business Intelligence Culture
	9.5 Research on Business Intelligence Adoption In Lithuanian Companies
	References
Chapter 10: Soft Business Intelligence Factors
	10.1 Common Issues for Soft Factors
	10.2 Attention
		10.2.1 Importance for BI
		10.2.2 Important Attention Issues
			Information Overload
			Distractors, Interruptions, Attention Fragmentation
			Incorrect Attention Guidance
			Group Attention Issues
			Metrics
		10.2.3 Attention Management Tools
	10.3 Sense
		10.3.1 Sense Dynamics
		10.3.2 Sense Metrics
	10.4 Trust
		10.4.1 Definitions
		10.4.2 Trust in Elements of Informing Process
			Source Data
			Delivery Channels
		10.4.3 Processing Methods and Systems Design
		10.4.4 Contributors
		10.4.5 Metrics
	10.5 Relations Between Soft Factors
	10.6 Possible Research Directions
	References
Chapter 11: Encompassing BI: Education and Research Issues
	11.1 The Encompassing Business Intelligence
	11.2 Review of the Book Logic
	11.3 Important Issues in BI Education
	11.4 BI Research Issues
	References