Data Driven Decisions: Systems Engineering to Understand Corporate Value and Intangible Assets 9781394200061, 9781394202331, 9781394200054

Expand your enterprise into new regions using systems engineering and data analysis In Data Driven Decisions: Systems En

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Table of contents :
Cover
Table of Contents
Additional Praise for Data Driven Decisions
Title Page
Copyright
Foreword
Prologue
Introduction
Systems Engineering Overview: Customer Affinity and Context Diagram
Part I: Intangible Assets
Chapter 1: When Intangibles Matter Most
Chapter 2: Examples of Intangible Assets
Goodwill, Reputation, Brand Recognition, Patents, and Copyrights
Chapter 3: The Rise of Intangible Economies
Intangible Assets Are More Valuable
Chapter 4: Defining Intangibles
Chapter 5: Valuing Intangible Assets
Strategic versus Intangible Assets
Chapter 6: EBITDA Is Not the Best Way to Value Intangible‐Heavy Companies
Chapter 7: Separability, Measurability, and Predictability
Chapter 8: Why Systems Engineering Is Relevant for Corporate Valuations and Intangible Assets
Chapter 9: What Intangibles Matter Most for Corporate Valuation
Chapter 10: What Intangibles Matter Most for Corporate Expansion
Chapter 11: Buy‐Side Intangibles
Industry Examples of Buy‐Side Intangible Assets and When Intangible Assets Matter to Buyers
Chapter 12: PE Ratios
Chapter 13: The Business Moat as an Intangible Asset
Chapter 14: How Investors Think About Intangibles
Chapter 15: Intangible Assets in Branded Consumer Products
Chapter 16: Intangible Assets in Healthcare
Part II: Systems Engineering Tools and Examples
Chapter 17: Systems Engineering Tools
Chapter 18: Customer Affinity and Context Diagrams
Chapter 19: Context Diagrams and Context Matrices
Chapter 20: Use Cases and Behavioral Diagrams
Chapter 21: Originating Requirements
Chapter 22: Decision Matrix
Chapter 23: GQM – Goal Question Metric Analysis
Chapter 24: Analytical Hierarchy
Chapter 25: Precedence Matrix
Chapter 26: Failure Mode and Effect Analysis
Chapter 27: Interface Matrix
Chapter 28: House of Quality
Chapter 29: Operations Description Template
Chapter 30: Interface Tracking
Chapter 31: Conclusion to Tools
Chapter 32: GQM, Decision Matrix, and Analytical Hierarchy for Ad‐Tech Industries
Chapter 33: GQM, Decision Matrix, and Analytical Hierarchy for Logistics Industries
Chapter 34: GQM, Decision Matrix, and Analytical Hierarchy for Manufacturing Industries
Part III: Geographical Application
Chapter 35: Introduction
Macroeconomic Perspectives of Intangible Assets
Chapter 36: The MENA Region
Chapter 37: The ASEAN Region
Chapter 38: The Latin American Region
Chapter 39: Case Studies: Bringing It All Together
Chapter 40: Case Studies: LATAM Expanding to the United States
Chapter 41: Case Studies: MENA Medical Devices
Chapter 42: Case Studies: ASEAN Aerospace Schema – Context Diagram
Chapter 43: Case Studies: In Conclusion
Chapter 44: Summary
Bibliography
Index
End User License Agreement

Data Driven Decisions: Systems Engineering to Understand Corporate Value and Intangible Assets
 9781394200061, 9781394202331, 9781394200054

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