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Könyv Solving the Dynamic Complexity Dilemma Nabil Abu el Ata

Solving the Dynamic Complexity Dilemma

Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm

Szerző: Nabil Abu el Ata, Maurice J. Perks
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
27 032 Ft
Dynamic complexity results from hidden, un­known factors-or more precisely, interactions between fac...

Információk a könyvről

Szerző
Nabil Abu el Ata, Maurice J. Perks
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2016
oldal
281
EAN
9783662514948
ISBN
366251494X
Enbook ID
13671683
Kiadó
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Súly
4686
Méretek
155 x 235 x 17

Teljes leírás

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 based upon

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