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Data Driven Decisions. Systems Engineering to Understand Corporate Value and Intangible Assets. Edition No. 1

  • Book

  • 272 Pages
  • October 2023
  • John Wiley and Sons Ltd
  • ID: 5863851
Expand your enterprise into new regions using systems engineering and data analysis

In Data Driven Decisions: Systems Engineering to Understand Corporate Valuation and Intangible Assets, investment banker, systems engineer, and Cornell University lecturer Joshua Michael Jahani delivers an incisive and unique unveiling of how to use the tools of systems engineering to value your organization, its intangible assets, and how to gauge or prepare its readiness for an overseas or cross-border expansion.

In the book, you’ll learn to implement a wide range of systems engineering tools, including context diagrams, decision matrices, Goal-Question-Metric analyses, and more. You’ll also discover the following: - How to communicate corporate value measurements and their impact to owners, executives, and investors. - Explorations of the relevant topics when considering an international expansion, including macroeconomics, joint ventures, market entry, corporate valuations, mergers and acquisitions, and company culture. - A comprehensive framework and methodology for examining available global regions in your search for the perfect expansion target. - A deep understanding of specific sectors in which intangible assets have a particular impact, including branded consumer products, ad-tech, and healthcare.

A must-have resource for business owners, managers, executives, directors, and other corporate leaders, Data-Driven Decisions will also prove invaluable to consultants and other professionals who serve companies considering expansion or growth into new regions.

Table of Contents

Foreword xi

Prologue xiii

Introduction 1

Part I: Intangible Assets 7

Chapter 1: When Intangibles Matter Most 9

Chapter 2: Examples of Intangible Assets 13

Chapter 3: The Rise of Intangible Economies 15

Chapter 4: Defining Intangibles 19

Chapter 5: Valuing Intangible Assets 23

Chapter 6: EBITDA Is Not the Best Way to Value Intangible- Heavy Companies 27

Chapter 7: Separability, Measurability, and Predictability 33

Chapter 8: Why Systems Engineering Is Relevant for Corporate Valuations and Intangible Assets 41

Chapter 9: What Intangibles Matter Most for Corporate Valuation 45

Chapter 10: What Intangibles Matter Most for Corporate Expansion 55

Chapter 11: Buy-Side Intangibles 59

Chapter 12: PE Ratios 63

Chapter 13: The Business Moat as an Intangible Asset 67

Chapter 14: How Investors Think About Intangibles 71

Chapter 15: Intangible Assets in Branded Consumer Products 75

Chapter 16: Intangible Assets in Healthcare 79

Part II: Systems Engineering Tools and Examples 83

Chapter 17: Systems Engineering Tools 85

Chapter 18: Customer Affinity and Context Diagrams 89

Chapter 19: Context Diagrams and Context Matrices 97

Chapter 20: Use Cases and Behavioral Diagrams 103

Chapter 21: Originating Requirements 109

Chapter 22: Decision Matrix 117

Chapter 23: GQM - Goal Question Metric Analysis 123

Chapter 24: Analytical Hierarchy 131

Chapter 25: Precedence Matrix 133

Chapter 26: Failure Mode and Effect Analysis 137

Chapter 27: Interface Matrix 143

Chapter 28: House of Quality 147

Chapter 29: Operations Description Template 153

Chapter 30: Interface Tracking 157

Chapter 31: Conclusion to Tools 159

Chapter 32: GQM, Decision Matrix, and Analytical Hierarchy for Ad-Tech Industries 161

Chapter 33: GQM, Decision Matrix, and Analytical Hierarchy for Logistics Industries 167

Chapter 34: GQM, Decision Matrix, and Analytical Hierarchy for Manufacturing Industries 171

Part III: Geographical Application 173

Chapter 35: Introduction 175

Chapter 36: The MENA Region 179

Chapter 37: The ASEAN Region 187

Chapter 38: The Latin American Region 195

Chapter 39: Case Studies: Bringing It All Together 205

Chapter 40: Case Studies: LATAM Expanding to the United States 209

Chapter 41: Case Studies: MENA Medical Devices 213

Chapter 42: Case Studies: ASEAN Aerospace Schema - Context Diagram 217

Chapter 43: Case Studies: In Conclusion 221

Chapter 44: Summary 223

Bibliography 225

Index 235

Authors

Joshua Jahani