Optimizing Data-to-Learning-to-Action : The Modern Approach to Continuous Performance Improvement for Businesses

Optimizing Data-to-Learning-to-Action The Modern Approach to Continuous Performance Improvement for Businesses

Apply a powerful new approach and method that ensures continuous performance improvement for your business. You will learn how to determine and value the people, process, and technology-based solutions that will optimize your organization’s data-to-learning-to-action processes. This book describes i...

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Detalles Bibliográficos
Autor principal: Flinn, Steven. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2018.
Edición:1st ed. 2018.
Materias:
Big data.
Software engineering.
Big Data.
Software Engineering/Programming and Operating Systems.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630753506719
Tabla de Contenidos:
  • Chapter 1: Case for Action
  • Chapter 2: Roots of a New Approach
  • Chapter 3: Data-to-Learning-to-Action
  • Chapter 4: Tech Stuff and Where It Fits
  • Chapter 5: Reversing the Flow: Decision-to-Data
  • Chapter 6: Quantifying the Value
  • Chapter 7: Total Value
  • Chapter 8: Optimizing Learning Throughput
  • Chapter 9: Patterns of Learning Constraints and Solutions
  • Chapter 10: Organizing for Data-to-Learning-to-Action Success
  • Chapter 11: Conclusion
  • .

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