Solving the Dynamic Complexity Dilemma : Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm
Language: English
Published by Springer, 2014
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 134.41
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - Dynamic complexity results from hidden, unknown factors-or more precisely, interactions between factors-that can unexpectedly impact the performance of systems. When the influences of dynamic complexity are not measured and understood, new never-seen-before behaviors can come as unwelcomed surprises, which disrupt the performance of systems. Left alone, processes that were once prized for their efficiency unexpectedly begin to degrade-costs increase, while volumes and quality decline. Evidence of problems may come too late for effective resolution as technology advancements induce rapid change and compress the time available to react to that change. The results of dynamic complexity are always negative and unmanaged dynamic complexity can bring business or global systems to the point of sudden chaos. The 2009 H1N1 pandemic, 2008 Credit Crunch and 2011 Fukushima Daiichi nuclear disaster are global examples of the dangers of undiagnosed dynamic complexity.With increasing frequency executive leaders today are discovering that their business and IT system performance levels are not meeting expectations. In most cases these performance deficiencies are caused by dynamic complexity, which lies hidden like a cancer until the symptoms reveal themselves-often when it is too late to avoid negative impacts on business outcomes. This book examines the growing business problem of dynamic complexity and presents a path to a practical solution. To achieve better predictability, organizations must be able to expose new, dangerous patterns of behavior in time to take corrective actions and know which actions will yield the optimal results. The book authors promote new methods of risk management that use data collection, analytics, machine learning and automation processes to help organizations more accurately predict the future and take strategic actions to improve performance outcomes. The presented means of achieving this goal are basedupon the authors' practical experiences, backed by scientific principles, and results achieved through consulting engagements with over 350 global organizations.…
Seller Inventory # 9783642543098
- Title
- Solving the Dynamic Complexity Dilemma : Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm
- Author
- Nabil Abu El Ata
- Publisher
- Springer
- Publication year
- 2014
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 364254309X
- ISBN 13
- 9783642543098
- Item weight
- 577 grams
- Dimensions
- 241x160x23 mm
Solving the Dynamic Complexity Dilemma examines the growing business problem of dynamic complexity and presents a path to a practical solution. To achieve better predictability, organizations must be able to expose new, dangerous patterns of behavior in time to take corrective actions and know which actions will yield the optimal results. This book promotes new methods of risk management that use data collection, analytics, machine learning and automation processes to help organizations more accurately predict the future and take strategic actions to improve performance outcomes. The presented means of achieving this goal are based upon the authors' practical experiences, backed by scientific principles, and results achieved through consulting engagements with over 350 global organizations.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Maurice J. Perks is a visiting professor of IT Integration at the University of York. He joined IBM in 1968 as a Systems Engineer. During his tenure as an IBM employee (1968-2010) he attained the level of IBM Fellow and specialized in the design of IT systems for large organizations. Dr. Perks is noted for his methodological approach, which helps to understand and assess the complexity of systems, and his ability to apply that knowledge to design and modify complex systems. He is currently working to promote understanding of modern IT systems complexity, and is bringing new ways of combining the triangle of business knowledge, IT knowledge and mathematics to this challenge. He is a great believer in the increased use of modeling and simulation to help tame the growing challenges that business and IT change pose.
"About the title" may belong to another edition of this title.
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