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Business Intelligence

Book Description

Focusing on primarily on practical business issues, this text demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration.

Table of Contents

  1. Title Page
  2. Copyright
  3. Contents
  4. Introduction
  5. Chapter 1: An Introduction to Business Intelligence
    1. 1.1. The Origins of Business Intelligence
    2. 1.2. BI as an Autonomous Discipline
    3. 1.3. BI and Company Management
    4. 1.4. Review of BI Applications in Some Business Areas
    5. Recommended Literature
    6. Internet Resources
  6. Chapter 2: The Data Warehouse
    1. 2.1. Introduction
    2. 2.2. What a Data Warehouse Is
    3. 2.3. Logical Model: Star Schema
    4. 2.4. Sources of Data
    5. 2.5. Designing a Data Warehouse: Basic Facts
    6. Recommended Literature
    7. Internet Resources
  7. Chapter 3: The Basics of Business Analysis
    1. 3.1. Reporting and Data Analysis
    2. 3.2. Information Management
    3. Recommended Literature
    4. Internet Resources
  8. Chapter 4: Advanced Business Analysis
    1. 4.1. Introduction
    2. 4.2. Classification
    3. 4.3. Cluster Analysis
    4. 4.4. Association Rules
    5. 4.5. Other Methods
    6. 4.6. Review of Selected BI Applications in Terms of Data Mining
    7. Recommended Literature
    8. Internet Resources
  9. Chapter 5: Customer Intelligence
    1. 5.1. Introduction
    2. 5.2 Customer Intelligence and Data Mining
    3. 5.3. Personalization of the Marketing Message
    4. 5.4. On the Eve of Revolution
    5. Recommended Literature
    6. Internet Resources
  10. Chapter 6: Business Intelligence and Value-Based Management
    1. 6.1. The Role of Information Capital in Enhancing the Value of an Enterprise
    2. 6.2. Implementation Methodology
    3. 6.3. Levels of Support of Business Processes
    4. 6.4. BI Implementation: Estimation of Return on Investment
    5. 6.5. Change Management and the Role of Human Capital
    6. 6.6. Conclusions
    7. Recommended Literature
    8. Internet Resources
  11. Conclusion
  12. Notes
    1. Chapter 1
    2. Chapter 2
    3. Chapter 3
    4. Chapter 4
    5. Chapter 5
    6. Chapter 6
    7. Conclusion
  13. References