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Autor(en): 
  • Mario Vanhoucke
  • The Illusion of Control: Project Data, Computer Algorithms and Human Intuition for Project Management and Control 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Juli 2024  
    Genre:  Wirtschaft / Recht 
     
    Algorithmen und Datenstrukturen / Analyticalprojectcontrol / Datenbanken / Datenmanagement / machinelearning / Management spezifischer Bereiche / Projectdata / Projectmanagement / ProjectScheduling
    ISBN:  9783031317873 
    EAN-Code: 
    9783031317873 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 19 mm 
    Gewicht:  522 gr 
    Seiten:  344 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book comprehensively assesses the growing importance of project data for project scheduling, risk analysis and control. It discusses the relevance of project data for both researchers and professionals, and illustrates why the collection, processing and use of such data is not as straightforward as most people think. The theme of this book is known in the literature as data-driven project management and includes the discussion of using computer algorithms, human intuition, and project data for managing projects under risk. The book reviews the basic components of data-driven project management by summarizing the current state-of-the-art methodologies, including the latest computer and machine learning algorithms and statistical methodologies, for project risk and control. It highlights the importance of artificial project data for academics, and describes the specific requirements such data must meet. In turn, the book discusses a wide variety of statistical methods available to generate these artificial data and shows how they have helped researchers to develop algorithms and tools to improve decision-making in project management. Moreover, it examines the relevance of project data from a professional standpoint and describes how professionals should collect empirical project data for better decision-making. Finally, the book introduces a new approach to data collection, generation, and analysis for creating project databases, making it relevant for academic researchers and professional project managers alike.

      



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