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Information Quality and Governance for Business Intelligence

Book Description

Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  6. Foreword
  7. Preface
  8. Acknowledgment
  9. Chapter 1: A Conceptual Model of Metadata’s Role in BI Success
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND CONCEPTUAL MODEL
    4. MODEL VALIDATION
    5. DISCUSSION AND CONCLUSION
  10. Chapter 2: Understanding the Influence of Business Intelligence Systems on Information Quality
    1. ABSTRACT
    2. INTRODUCTION
    3. CONCEPTUAL RESEARCH MODEL
    4. RESULTS
    5. FINDINGS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  11. Chapter 3: Subjective Information Quality in Data Integration
    1. ABSTRACT
    2. INTRODUCTION
    3. PROBLEM
    4. BACKGROUND
    5. APPROACH
    6. SUBJECTIVE INFORMATION QUALITY ASSESSMENT PRINCIPLES
    7. EVALUTION OF SUBJECTIVE INFORMATION QUALITY
    8. POTENTIAL APPLICATION OF SUBJECTIVE IQ
    9. CONCLUSION
    10. FUTURE WORK
  12. Chapter 4: A Case Study on Data Quality, Privacy, and Entity Resolution
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN ISSUES
    5. PRIVACY-ENHANCING ENTITY RESOLUTION AND IDENTITY MANAGEMENT
    6. RESULTS
    7. CONCLUSION AND FUTURE WORK
  13. Chapter 5: Business Intelligence for Healthcare
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. BETTER MANAGING COSTS AND MEDICAL OUTCOMES USING DIQ AND BI
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  14. Chapter 6: IT Architecture and Information Quality in Data Warehouse and Business Intelligence Environments
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. RESEARCH MODEL
    5. RESEARCH METHOD
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  15. Chapter 7: Information Quality Assessment for Asset Management Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. ASSET MANAGEMENT
    4. SCOPE OF INFORMATION IN ASSET MANAGEMENT
    5. BASIS OF IQ ASSESSMENT FRAMEWORK
    6. THE CASE STUDY
    7. CONCLUSION
  16. Chapter 8: Trends and Research of Wikis' Quality and Governance Based on Bibliometric and Content Analysis
    1. ABSTRACT
    2. INTRODUCTION
    3. RESEARCH AIMS AND QUESTIONS
    4. METHODOLOGY
    5. THE FINDINGS OF BIBLIOMETRIC ANALYSIS
    6. THE FINDINGS OF CONTENT ANALYSIS
    7. CONCLUSION
  17. Chapter 9: Social Media Tools for Quality Business Information
    1. ABSTRACT
    2. INTRODUCTION
    3. QUALITY INFORMATION FOR BUSINESS GOVERNANCE
    4. THE VALUE OF ACCURATE INFORMATION FOR BUSINESSES
    5. COMPETITIVE INTELLIGENCE AND BUSINESS MANAGEMENT
    6. SOCIAL MEDIA NETWORKING
    7. CONCERNS WITH NETWORKING SITES
    8. SOCIAL TOOLS FOR THE WORKPLACE
    9. SOME OF THE BIGGEST TOOLS AND HOW THEY OPERATE
    10. CONCLUSION
  18. Chapter 10: Improving Spatial Data Quality through Spatial ETL Processes
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. SPATIAL DATA QUALITY AND BUSINESS INTELLIGENCE
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  19. Chapter 11: Principled Reference Data Management for Business Intelligence
    1. ABSTRACT
    2. INTRODUCTION
    3. THE NEED FOR PRINCIPLED REFERENCE DATA MANAGEMENT FOR BI
    4. APPLYING PRINCIPLED REFERENCE DATA MANAGEMENT TO BI
    5. CONCLUSION
  20. Chapter 12: Effective Measurement of DQ/IQ for BI
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. METHODOLOGIES AND FRAMEWORKS
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  21. Chapter 13: Data Profiling and Data Quality Metric Measurement as a Proactive Input into the Operation of Business Intelligence Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. MAIN FOCUS OF THE CHAPTER
    4. FUTURE RESEARCH DIRECTIONS
    5. CONCLUSION
  22. Chapter 14: Agile Information Management Governance
    1. ABSTRACT
    2. INTRODUCTION
    3. OVERVIEW: AGILE INFORMATION MANAGEMENT
    4. SCALING AGILE IM TO THE ENTERPRISE
    5. IT’S ALL ABOUT THE DATA
    6. BUT HOW DO YOU SCALE?
    7. ENTERPRISE AGILE IM: A CASE STUDY
    8. SETUP IS KEY TO AGILE ADOPTION SUCCESS
    9. THE ‘AGILE IM’ CHECKLIST
    10. CONCLUSION
  23. Chapter 15: Challenges of Structure and Organization in Medium-Sized Content
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS OF THE CHAPTER
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  24. Chapter 16: A Case Study to Improve Data Vendor Selection
    1. ABSTRACT
    2. THE CHALLENGE
    3. BACKGROUND
    4. PERFORMANCE MEASURES
    5. ORIGINAL DATA STRUCTURE
    6. VENDORS
    7. SINGLE VENDOR ANALYSIS
    8. MULTI-VENDOR ANALYSIS
    9. SUMMARY OF FINDINGS
  25. Chapter 17: Strategies for Large-Scale Entity Resolution Based on Inverted Index Data Partitioning
    1. ABSTRACT
    2. BACKGROUND
    3. PROBLEMS WITH LARGE-SCALE ER
    4. BOOLEAN RULES
    5. USER-DEFINED INVERTED INDEX
    6. INVERTED INDEXING AS A DATA PARTITIONING STRATEGY
    7. CONCLUSION
    8. FUTURE RESEARCH DIRECTIONS
  26. Chapter 18: A Dual-Database Trusted Broker System for Resolving, Protecting, and Utilizing Multi-Sourced Data
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. FUTURE RESEARCH DIRECTIONS
    5. CONCLUSION
  27. Chapter 19: Business Intelligence Architecture in Support of Data Quality
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. THREE-TIERED DATA WAREHOUSE ARCHITECTURE
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
  28. Chapter 20: The Value of Data Quality
    1. ABSTRACT
    2. INTRODUCTION
    3. CHANGING BEHAVIOURS
    4. INFORMATION TRADERS
    5. ESTABLISHING AN INFORMATION MARKET
    6. THE FIRST TRANSACTIONS
    7. SERVICE LEVELS
    8. OBJECTIONS TO A MARKET-BASED APPROACH
    9. INFORMATION-DRIVEN BUSINESS
    10. CONCLUSION
  29. Chapter 21: Data Protection and BI
    1. ABSTRACT
    2. INTRODUCTION
    3. DATA PROTECTION – UNDERSTANDING PRINCIPLES
    4. DP, DG, IQ AND BI – A THREE LEGGED STOOL
    5. ASSEMBLING THE STOOL FOR YOUR BI INITIATIVE
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
  30. Compilation of References
  31. About the Contributors