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Organizational Applications of Business Intelligence Management

Book Description

Business Intelligence Management and Decision Support Systems are vital tools for managers and practitioners to stay abreast of the latest techniques and methodologies currently successful in global businesses use. Organizational Applications of Business Intelligence Management: Emerging Trends offers a deep look into the latest research, tools, implementations, frameworks, architectures, and case studies within the field of Business Intelligence Management. Chapter authors from around the world have contributed to the latest research within the field, offering a vast range of ideas and implementations to help grow and manage global business. Through measurement, analytics, and knowledge management, the book’s authors and editor have collected a vital resource for practitioners to stay up-to-date in the ever burgeoning field.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Associate Editors and List of Reviewers
    1. Associate Editors
    2. List of Reviewers
  5. Preface
    1. INTRODUCTION
    2. SYNOPSIS OF PAPERS
    3. HOW THESE PAPERS ARE ORGANIZED FOR THIS BOOK
    4. FUTURE BI RESEARCH
  6. Section 1: Organizational Issues
    1. Chapter 1: Business Intelligence and Organizational Decisions
      1. ABSTRACT
      2. A STUDY OF DECISIONS AND INFORMATION
    2. Chapter 2: Business Plus Intelligence Plus Technology Equals Business Intelligence
      1. ABSTRACT
      2. INTRODUCTION
    3. Chapter 3: Business Intelligence in the Bayou
      1. ABSTRACT
      2. BUSINESS INTELLIGENCE IN THE BAYOU: RECOVERING COSTS IN THE WAKE OF HURRICANE KATRINA
      3. BUSINESS INTELLIGENCE
      4. THE DEBRIS REMOVAL PROBLEM IN WASHINGTON PARISH
      5. DATA COLLECTION AND DATABASE DEVELOPMENT
      6. PROJECT REVIEW AND UNSUPPORTED COST DEVELOPMENT
      7. CONCLUSION
    4. Chapter 4: The Role of Culture in Business Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. BUSINESS INTELLIGENCE
      4. THE IMPORTANCE OF CULTURE IN BI
      5. A CULTURAL SIMULATION MODELER
      6. OUTPUT OF THE CSM
      7. LIMITATIONS AND ADDITIONAL CONSIDERATIONS
      8. FUTURE RESEARCH
      9. CONCLUSION
    5. Chapter 5: What is Business Intelligence?
      1. ABSTRACT
      2. INTRODUCTION
      3. METHODOLOGY
      4. DEFINITION OF BUSINESS INTELLIGENCE
      5. BI LEXICON
      6. TECHNOLOGICAL COMPONENTS OF BUSINESS INTELLIGENCE
      7. BUSINESS INTELLIGENCE AS A PROCESS
      8. APPENDIX 1
    6. Chapter 6: The Importance of Process Thinking in Business Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. ORGANISATIONAL INTEGRATION OF BPM AND OPERATIONAL BI: LOOKING BEYOND TECHNOLOGY
      5. THEORETICAL FOUNDATIONS
      6. RESEARCH METHOD
      7. RESEARCH FINDINGS
      8. CONCLUSION AND FUTURE WORK
  7. Section 2: Analytic Issues
    1. Chapter 7: Strategies for Document Management
      1. ABSTRACT
      2. INTRODUCTION
      3. THE CURRENT APPROACH
      4. CRITERIA FOR A SUCCESSFUL SEARCH
      5. WHY THE FLAWS BECOME FATAL
      6. THE DIMENSIONAL ALTERNATIVE
      7. THE IMPORTANCE OF HIERARCHIES
      8. IT’S ALREADY HERE
      9. THE COST OF DIMENSIONAL DOCUMENT STORES
      10. INCREMENTALISM AND DYNAMIC HIERARCHIES
      11. AN EXPERIMENT USING A SUBJECT DIMENSION
      12. GAINS FROM USING A SUBJECT DIMENSION
      13. CONCLUSION
      14. LIMITATIONS AND FUTURE WORK
    2. Chapter 8: The Current State of Analytics in the Corporation
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. METHODOLOGY
      4. 3. WHAT IS THE CURRENT STATE OF BA IN YOUR FIRM?
      5. 4. IS BA A STRATEGIC INITIATIVE IN YOUR COMPANY?
      6. 5. ON WHICH PROCESSES HAS YOUR FIRM FOCUSED ON USING ANALYTICS?
      7. 6. HOW WOULD YOU MEASURE THE IMPACT OF BA ON BUSINESS RESULTS?
      8. 7. WHERE DOES THE BI/BA EXPERTISE RESIDE IN YOUR FIRM?
      9. 8. WHAT SKILL SETS ARE YOU LOOKING FOR WHEN FILLING BI/BA POSITION?
      10. 9. CONCLUSION
    3. Chapter 9: Application of Triplet Notation and Dynamic Programming to Single-Line, Multi-Product Dairy Production Scheduling
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE
      4. DAIRY OPERATION
      5. SCHEDULING MODEL
      6. SOLUTION METHOD
      7. SAMPLE SOLUTION
      8. CONCLUSION
      9. EXTENSIONS
    4. Chapter 10: Data Mining for Health Care Professionals
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. DESCRIPTION OF THE DATA MINING COURSE
      5. EMPLOYMENT AND RECRUITMENT DIVERSITY ASSESSMENT
      6. TRANSCRIPTION TURN-AROUND-TIME
      7. CT PATIENT SAFETY
      8. MODEL I
      9. MODEL II
      10. MODEL III
      11. MODEL IV
      12. DISCUSSION
    5. Chapter 11: Data-Driven Decision Making for New Drugs
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. DESIGNING INNOVATIVE UNDERGRADUATE COURSES
      5. TEACHING STUDENTS TO THINK CRITICALLY
      6. STUDENT TEAMS AND TEAM TEACHING INNOVATIVE COURSES
      7. MEASURING THE SUCCESS OF INNOVATIVE COURSES
      8. RESEARCH METHODOLOGY
      9. PRIOR TO THE SEMESTER
      10. DURING THE SEMESTER
      11. RESULTS
      12. MERGING THE MEDICAL AND PHARMACEUTICAL DATA RECORDS
      13. ANALYSES OF MERGED DATASET
      14. DISCUSSION
      15. CONCLUSION AND FUTURE RESEARCH
    6. Chapter 12: Towards Private-Public Research Partnerships Combining Rigor and Relevance in DWH/BI Research
      1. ABSTRACT
      2. INTRODUCTION
      3. METHODOLOGICAL REVIEW OF DWH/BI RESEARCH
      4. THE COMPETENCE CENTER APPROACH
      5. CONCLUSION AND FUTURE RESEARCH
    7. Chapter 13: Improving Business Intelligence
      1. ABSTRACT
      2. WHY SIX SIGMA FOR BUSINESS INTELLIGENCE
      3. SIX SIGMA PRINCIPLES FOR BUSINESS INTELLIGENCE
      4. THE SIX SIGMA WAY FOR BUSINESS INTELLIGENCE
      5. DEFINING BUSINESS INTELLIGENCE QUALITY (Y COMPONENTS)
      6. HOW DO WE MEASURE QUALITY? (THE Y COMPONENT)
      7. THE SIX SIGMA CONTINUING IMPROVEMENT PROGRAM
      8. SIX SIGMA BUSINESS INTELLIGENCE: CAUTIONS
      9. ASSESSING THE VALUE OF A SIX SIGMA PROGRAM FOR YOUR ORGANIZATION
  8. Section 3: Technology Issues
    1. Chapter 14: The BI-Based Organization
      1. ABSTRACT
      2. INTRODUCTION
      3. A BI DEFINITION
      4. THREE TARGETS FOR BI
      5. REAL-TIME BI: CONTINENTAL AIRLINES
      6. BENEFITS OF BI
      7. BI GOVERNANCE AT BLUE CROSS AND BLUE SHIELD OF NORTH CAROLINA
      8. A BI MATURITY MODEL
      9. CONCLUSION
    2. Chapter 15: Do Users Go Both Ways?
      1. ABSTRACT
      2. INTRODUCTION
      3. RESEARCH FOUNDATIONS AND FRAMEWORK
      4. END USER CATEGORIES
      5. RESULTS AND DISCUSSION
      6. CONCLUSION
    3. Chapter 16: Enterprise Information System and Data Mining
      1. ABSTRACT
      2. INTRODUCTION
      3. EIS AND BUSINESS INTELLIGENCE
      4. FUTURE OF EIS IN SUPPLY CHAIN MANAGEMENT
      5. CONCLUSION
    4. Chapter 17: Historical Data Analysis through Data Mining from an Outsourcing Perspective
      1. ABSTRACT
      2. INTRODUCTION: ON THE NEED FOR A NEW DATA MINING METHOD
      3. RESEARCH QUESTION AND APPROACH
      4. PHASE THREE: RESULTS IMPLEMENTATION
      5. POSITIONING THE MODEL
      6. CASE STUDY
      7. DATA MINING
      8. RESULTS IMPLEMENTATION
      9. RECAPITULATION
    5. Chapter 18: Data Warehousing Requirements Collection and Definition
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. CASE OF A DATA WAREHOUSING PROJECT FOR A US-BASED CHEMICAL COMPANY
      4. 3. BACKGROUND OVERVIEW AND THE CASE ANALYSIS
      5. 4. SUMMARY AND CONCLUSION
    6. Chapter 19: Business Intelligence 2.0
      1. ABSTRACT
      2. INTRODUCTION
      3. THE EXTENSIBLE MARKUP LANGUAGE (XML)
      4. XML AND BI 2.0
      5. SEMANTIC WEB, WEB 2.0, OR BI 2.0?
      6. STRATEGIC IMPLICATIONS
      7. CONCLUSION
  9. Compilation of References
  10. About the Contributors