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The Analytic Hospitality Executive

Book Description

Targeted analytics to address the unique opportunities in hospitality and gaming

The Analytic Hospitality Executive helps decision makers understand big data and how it can drive value in the industry. Written by a leading business analytics expert who specializes in hospitality and travel, this book draws a direct link between big data and hospitality, and shows you how to incorporate analytics into your strategic management initiative. You'll learn which data types are critical, how to identify productive data sources, and how to integrate analytics into multiple business processes to create an overall analytic culture that turns information into insight. The discussion includes the tools and tips that help make it happen, and points you toward the specific places in your business that could benefit from advanced analytics. The hospitality and gaming industry has unique needs and opportunities, and this book's targeted guidance provides a roadmap to big data benefits.

Like most industries, the hospitality and gaming industry is experiencing a rapid increase in data volume, variety, and velocity. This book shows you how to corral this growing current, and channel it into productive avenues that drive better business.

  • Understand big data and analytics
  • Incorporate analytics into existing business processes
  • Identify the most valuable data sources
  • Create a strategic analytic culture that drives value

Although the industry is just beginning to recognize the value of big data, it's important to get up to speed quickly or risk losing out on benefits that could drive business to greater heights. The Analytic Hospitality Executive provides a targeted game plan from an expert on the inside, so you can start making your data work for you.

Table of Contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Foreword
  6. Acknowledgments
  7. About the Author
  8. Chapter 1: Building a Strategic Analytic Culture in Hospitality and Gaming
    1. Strategic Analytic Culture
    2. Moving Ahead and Staying Ahead with Prescriptive Decision Making
    3. Making It Happen
    4. Getting Started
    5. How This Book Can Help
    6. Notes
  9. Chapter 2: Data Management for Hospitality and Gaming
    1. Data Management Challenge and Opportunity
    2. Data Storage
    3. Data Integration
    4. Data Quality
    5. Measuring the Benefits of Data Management
    6. Responsible Use of Data
    7. Conclusion
    8. Additional Resources
    9. Notes
  10. Chapter 3: Data Visualization
    1. Why Are Visualizations So Important?
    2. Visualization Technology
    3. Data Handling
    4. Visualization Types
    5. Creating Powerful Visualizations
    6. Conclusion
    7. Additional Resources
    8. Notes
  11. Chapter 4: From Reactive to Proactive Decision Making: Advanced Analytics in Action
    1. Reactive to Proactive Decision Making
    2. Statistical Analysis
    3. Forecasting
    4. Predictive Analytics
    5. Optimization
    6. Machine Learning
    7. Text Analytics
    8. Making It Work—Analytics and Technology
    9. Innovations in Solution Delivery
    10. Real Time and Streaming
    11. Conclusion
    12. Additional Resources
    13. Notes
  12. Chapter 5: Analytics for Operations
    1. Operations
    2. Operations Data
    3. Advanced Analytics for Operations
    4. Workforce Planning and Optimization
    5. Queues
    6. The Impact of Queue Configuration
    7. Managing Consumer Perceptions of the Wait
    8. Benchmarking Operations Analytics Capabilities
    9. Technology and People Investments
    10. Conclusion
    11. Additional Resources
    12. Notes
  13. Chapter 6: Analytics for Marketing
    1. Marketing Data
    2. Advanced Analytics for Marketing
    3. Digital Intelligence
    4. Benchmarking Marketing Analytics Capabilities
    5. Technology and People Investments
    6. Conclusion
    7. Additional Resources
    8. Notes
  14. Chapter 7: Analytics for Sales
    1. Sales Data
    2. Advanced Analytics for Sales
    3. Statistical Analysis
    4. The Changing Landscape of Sales
    5. Benchmarking Sales Analytics
    6. Conclusion
    7. Note
  15. Chapter 8: Analytics for Revenue Management
    1. Revenue Management: A History Lesson
    2. Then Things Changed...
    3. Revenue Management Data
    4. Revenue Management Analytics
    5. Benchmarking Revenue Management Analytics Capabilities
    6. Technology and People Investments
    7. Conclusion
    8. Additional Resources
    9. Notes
  16. Chapter 9: Analytics for Performance Analysis
    1. Data for Performance Analysis
    2. Advanced Analytics for Performance Analysis
    3. Benchmarking Performance Analytics Capabilities
    4. Technology and People Investments
    5. Conclusion
    6. Additional Resources
    7. Notes
  17. Chapter 10: Analytics for Gaming
    1. Gaming Data
    2. Advanced Analytics for Gaming
    3. Casino Floor Revenue Optimization
    4. Fraud and Anti–Money Laundering
    5. Benchmarking Gaming Analytics Capabilities
    6. Technology and People Investments
    7. Conclusion
    8. Additional Resources
    9. Notes
  18. Chapter 11: Pulling It All Together: Building an Analytical Organization
    1. Getting Started: Well-Defined, Small Projects for Maximum Impact
    2. Organizing Your Analytics Department
    3. The Build versus Buy Decision
    4. Integrated Decision Making
    5. Conclusion
    6. Additional Resources
    7. Notes
  19. Appendix 1: Case Study from Infor: Analytics Opportunities in Operations
  20. Appendix 2: Case Study from IDeaS: Meetings and Events Revenue Management
  21. Appendix 3: Why Dynamic?
  22. Appendix 4: Chapter Questions
  23. References
  24. Index
  25. Footnotes