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Business Intelligence and Agile Methodologies for Knowledge-Based Organizations

Book Description

Business intelligence applications are of vital importance as they help organizations manage, develop, and communicate intangible assets such as information and knowledge. Organizations that have undertaken business intelligence initiatives have benefited from increases in revenue, as well as significant cost savings.Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications highlights the marriage between business intelligence and knowledge management through the use of agile methodologies. Through its fifteen chapters, this book offers perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. EDITORIAL ADVISORY BOARD
    2. LIST OF REVIEWERS
  5. Foreword
  6. Preface
  7. Acknowledgment
  8. Chapter 1: Business Intelligence
    1. ABSTRACT
    2. INTRODUCTION
    3. HISTORICAL OVERVIEW
    4. BUSINESS INTELLIGENCE: CONCEPTS AND DEFINTIONS
    5. THE GOAL OF BUSINESS INTELLIGENCE
    6. BUSINESS INTELLIGENCE ARCHITECTURE
    7. THE KNOWLEDGE DIMENSION OF BUSINESS INTELLIGENCE
    8. CONCLUSION
  9. Chapter 2: Agile Software
    1. ABSTRACT
    2. INTRODUCTION
    3. AGILE DEVELOPMENT HISTORY
    4. AGILE PRINCIPLES AND TECHNIQUES
  10. Chapter 3: Knowledge Management in Agile Methods Context
    1. ABSTRACT
    2. INTRODUCTION
    3. THE SURVEY DESIGN
    4. CONCLUSION
  11. Chapter 4: Knowledge Discovery Process Models
    1. ABSTRACT
    2. INTRODUCTION
    3. KNOWLEDGE DISCOVERY PROCESS MODELING CATEGORIZATION
    4. THE LEADING KDP MODELS
    5. KNOWLEDGE DISCOVERY IN DATABASES (KDD) PROCESS BY FAYYAD ET AL. (1996)
    6. INFORMATION FLOW IN A DATA MINING LIFE CYCLE BY GANESH ET AL. (1996)
    7. SEMMA BY SAS INSTITUTE (1997)
    8. REFINED KDD PARADIGM BY COLLIER ET AL. (1998)
    9. KNOWLEDGE DISCOVERY LIFE CYCLE (KDLC) MODEL BY LEE AND KERSCHBERG (1998)
    10. OTHER KDP MODELS
    11. KDP MODELS: HISTORICAL OVERVIEW
    12. KDP MODELS: SUMMARY OF STRENGTHS & WEAKNESSES
    13. KDP MODELS: SUPPORTED COMMERCIAL SYSTEMS AND REPORTED APPLICATIONS
    14. KDP MODELS - CHARACTERISTICS MATRIX
    15. CONCLUSION
  12. Chapter 5: Agile Methodologies for Business Intelligence
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. BUSINESS INTELLIGENCE DELIVERY
    5. CONCLUSION
  13. Chapter 6: BORM
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. BORM: AGILE MODELING FOR BUSINESS INTELLIGENCE
    5. BORM BUSINESS DIAGRAM
    6. BORM APPLICATION EXAMPLE: PUBLIC REGIONAL MANAGEMENT SYSTEM
    7. FUTURE RESEARCH DIRECTIONS
    8. CONCLUSION
  14. Chapter 7: Agile Approach to Business Intelligence as a Way to Success
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. THE MEANING OF AN AGILE APPROACH
    5. SUCCESS AND FAILURE IN BUSINESS INTELLIGENCE
    6. RELATIONSHIP BETWEEN AN AGILE APPROACH AND CRITICAL SUCCESS FACTORS IN BUSINESS INTELLIGENCE PROJECTS
    7. ANALYSIS OF THE RELATIONSHIPS
    8. CONCLUSION
  15. Chapter 8: Enhancing BI Systems Application Through the Integration of IT Governance and Knowledge Capabilities of the Organization
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. BUSINESS INTELLIGENCE AND HUMAN FACTOR
    5. ORGANIZATIONAL KNOWLEDGE
    6. KNOWLEDGE MANAGEMENT
    7. ORGANIZATIONAL KNOWLEDGE PILLARS
    8. IT GOVERNANCE FRAMEWORK
    9. PURPOSE AND PROCESS OF IT GOVERNANCE
    10. INFORMATION TECHNOLOGY GOVERNANCE FRAMEWORK (COBIT)
    11. OPERATIONALIZATION OF VARIABLES
    12. CONCLUSION
    13. RESEARCH LIMITATIONS
    14. FUTURE RESEARCH DIRECTIONS
  16. Chapter 9: ASD-BI
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORKS
    4. TRADITIONAL KDP APPROACH
    5. WHY ASD AGILE METHODOLOGY CAN FIT WELL WITH BUSINESS INTELLIGENCE APPLICATIONS?
    6. APPLYING ASD-BI IN BUILDING BI APPLICATION ON HIGHER EDUCATION: ARAB INTERNATIONAL UNIVERSITY CASE STUDY
    7. CONCLUSION
  17. Chapter 10: Measurement of Brand Lift from a Display Advertising Campaign
    1. ABSTRACT
    2. INTRODUCTION
    3. FUTURE DIRECTIONS
    4. SIMILAR SYSTEMS TO MEASURE THE BRAND LIFT
    5. CONCLUSION
  18. Chapter 11: Suggested Model for Business Intelligence in Higher Education
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE REVIEW
    4. SUGGESTED MODEL FOR BI IN HIGHER EDUCATION
    5. CASE STUDY FROM AIU
    6. RELATIONSHIP BETWEEN HIGH SCHOOL MARKS AND STUDENTS PERFORMANCE IN THE UNIVERSITY
    7. RELATION BETWEEN STUDENTS' PERFORMANCE IN ENGLISH PLACEMENT TEST AND STUDENTS' PERFORMANCE IN THE UNIVERSITY
    8. CASE STUDY FROM AIU
    9. CONCLUSION
  19. Chapter 12: Business Intelligence and Agile Methodology for Risk Management in Knowledge-Based Organizations
    1. ABSTRACT
    2. INTRODUCTION
    3. RISK MANAGEMENT (LITERATURE REVIEW)
    4. TRADITIONAL RISK MANAGEMENT TOOLS
    5. DOCUMENTATION REVIEW
    6. INFORMATION GATHERING TECHNIQUES
    7. PESTEL ANALYSIS
    8. BUSINESS INTELLIGENCE FOR RISK MANAGEMENT
    9. MODEL-DRIVEN BUSINESS INTELLIGENCE SYSTEM
    10. DATA-DRIVEN BIS FOR RISK MANAGEMENT
    11. THE ROLE OF AGILE METHODOLOGY IN RISK MANAGEMENT
    12. CONCLUSION
  20. Chapter 13: Towards a Business Intelligence Governance Framework Within E-Government System
    1. ABSTRACT
    2. INTRODUCTION AND RESEARCH MOTIVATION
    3. RESEARCH OBJECTIVE
    4. BACKGROUND
    5. RESEARCH METHODOLOGY
    6. INITIAL FRAMEWORK
    7. DEVELOPMENT OF BIG FRAMEWORK WITHIN E-GOVERNMENT
    8. CONCLUSION
  21. Chapter 14: Business Intelligence in Higher Education
    1. ABSTRACT
    2. INTRODUCTION
    3. ONTOLOGICAL APPROACH IN HIGHER EDUCATION
    4. ONTOLOGY-BASED KNOWLEDGE MANAGEMENT SYSTEMS DEVELOPMENT – A CASE STUDY FOR A ROMANIAN UNIVERSITY
    5. THE EDUCATION AND TRAINING PORTFOLIO MANAGEMENT IN AES
    6. THE RESEARCH PROJECT PORTFOLIO MANAGEMENT IN AES
    7. THE METHODOLOGY FOR KNOWLEDGE MANAGEMENT SYSTEM DEVELOPMENT
    8. AES KNOWLEDGE MANAGEMENT SYSTEM
    9. APPLICATION OF THE KNOWLEDGE MANAGEMENT SYSTEM IN RESEARCH
    10. CONCLUSION
  22. Chapter 15: Web Engineering and Business Intelligence
    1. ABSTRACT
    2. INTRODUCTION
  23. About the Contributers