Data driven decisions : systems engineering to understand corporate value and intangible assets

Data driven decisions systems engineering to understand corporate value and intangible assets

"Systems Engineering is a natural tool for business decisions. But no one uses it. This is because it's rare for someone with both sets of degrees and experience (business and systems engineering) to become successful without having an MBA, until Joshua Jahani. Business owners and educator...

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Detalles Bibliográficos
Otros Autores: Jahani, Joshua, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc 2024.
Edición:First edition
Materias:
Business > Data processing.
Systems engineering.
Decision making.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009811323806719
Tabla de Contenidos:
  • Intangible assets. When intangibles matter most
  • Examples of intangible assets
  • The rise of intangible economies
  • Defining intangibles
  • Valuing intangible assets
  • EBITDA is not the best way to value intangible- heavy companies
  • Separability, measurability, and predictability
  • Why systems engineering is relevant for corporate valuations and intangible assets
  • What intangibles matter most for corporate valuation
  • What intangibles matter most for corporate expansion
  • Buy-side intangibles
  • PE ratios
  • The business moat as an intangible asset
  • How investors think about intangibles
  • Intangible assets in branded consumer products
  • Intangible assets in healthcare
  • Systems engineering tools and examples
  • Systems engineering tools
  • Customer affinity and context diagrams
  • Context diagrams and context matrices
  • Use cases and behavioral diagrams
  • Originating requirements
  • Decision matrix
  • GQM – goal question metric analysis
  • Analytical hierarchy
  • Precedence matrix
  • Failure mode and effect analysis
  • Interface matrix
  • House of quality
  • Operations description template
  • Interface tracking
  • Conclusion to tools
  • GQM, decision matrix, and analytical hierarchy for ad-tech industries
  • GQM, decision matrix, and analytical hierarchy for logistics industries
  • GQM, decision matrix, and analytical hierarchy for manufacturing industries
  • Geographical application. Introduction
  • The MENA region
  • The ASEAN region
  • The Latin American region
  • Case studies : bringing it all together
  • Case studies : LATAM expanding to the United States
  • Case studies : MENA medical devices
  • Case studies : ASEAN aerospace schema – context diagram
  • Case studies : in conclusion – Summary.

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