In today’s fast-paced and complex project environments, making the right decisions at the right time is crucial.
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Mario Vanhoucke is a professor of project management and data analysis at Ghent University, Vlerick Business School and UCL School of Management (UK). His research and teaching focus on project planning, risk analysis and data-driven decision-making. He is the author of several books on project management and develops practical tools and datasets to support project management.
Data-Driven Project Management by Professor Mario Vanhoucke bridges the gap between theory and practice, showing how data transforms project planning, execution, and control. Unlike traditional approaches, it integrates planning, risk analysis, resource allocation, and control into one cohesive framework. Through engaging stories, real-life case studies, and hands-on experiments, it brings theoretical concepts to life, showing readers how to turn raw project data into clear, actionable insights.
Ideal for students, professionals, and experienced managers, this book provides the tools to navigate uncertainty with confidence. Structured in three parts, the book first lays the foundations of project management, covering the entire project lifecycle. It then presents real-world case studies, offering practical examples of data-driven decision-making in action. Finally, it equips readers with real data, practical tools, and immediately applicable insights, like network analysis, Monte Carlo simulation, and Earned Value Management.
Data-Driven Project Management isn't just about managing projects - it's about understanding how to leverage data to make smarter, faster, and more informed decisions. In an era of growing complexity, it empowers you to lead with clarity and precision.
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Paperback. Zustand: new. Paperback. This book offers a data-driven approach to project management, focusing on planning, risk analysis, resource management and project control. It combines theoretical foundations with practical case studies and tools, enabling readers to analyse real project data and make well-informed decisions. By integrating methods such as network analysis, Monte Carlo simulation and Earned Value Management, it provides a coherent framework for managing projects under uncertainty. AUTHOR: Mario Vanhoucke is a professor of project management and data analysis at Ghent University, Vlerick Business School and UCL School of Management (UK). His research and teaching focus on project planning, risk analysis and data-driven decision-making. He is the author of several books on project management and develops practical tools and datasets to support project management. SELLING POINTS: . From theory to real decisions: This book goes beyond formulas by showing how data supports real project decisions . Learn through stories and experiments: The concepts come alive through engaging project stories and real-life case studies . A complete, data-driven perspective: The chapters connect planning, risk, resources and control into one integrated approach . Turns project data into clear, actionable decision framework. It's not just theory . Combines storytelling, experiments and analytics to deepen understanding . Part I covers the foundations of project management, spanning the full project lifecycle: planning, risk analysis, resource allocation and project control. Part II presents real-life case studies that can be used during lectures. Part III provides real data, practical tools and insights that can be applied immediately in practice This book offers a data-driven approach to project management, focusing on planning, risk analysis, resource management and project control. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9789059968622
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Taschenbuch. Zustand: Neu. Neuware - This book offers a data-driven approach to project management, focusing on planning, risk analysis, resource management and project control. Bestandsnummer des Verkäufers 9789059968622
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