Data Driven Decisions
John Wiley & Sons Inc (Verlag)
978-1-394-20233-1 (ISBN)
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.
JOSHUA JAHANI teaches Systems Engineering at Cornell University and owns Jahani and Associates, a firm headquartered in New York City that provides investment banking advisory, investment banking transaction, and corporate development expertise to clients from around the??globe.
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
| Erscheinungsdatum | 01.11.2023 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 163 x 236 mm |
| Gewicht | 476 g |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Rechnungswesen / Bilanzen |
| ISBN-10 | 1-394-20233-4 / 1394202334 |
| ISBN-13 | 978-1-394-20233-1 / 9781394202331 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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