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Solving the Dynamic Complexity Dilemma - Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R2,901
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Solving the Dynamic Complexity Dilemma - Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm (Paperback, Softcover reprint of the original 1st ed. 2014)
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Dynamic complexity results from hidden, un known factors-or more
precisely, interactions between factors-that can unexpectedly im
pact the perfor mance of systems. When the influences of dynamic
complexity are not meas ured 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 effi ciency unexpectedly begin to degrade-costs increase,
while volumes and quality decline. Evidence of problems may come
too late for effective resolution as technology advance ments
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 the authors' practical experiences, backed by
scientific principles, and results achieved through consulting
engagements with over 350 global organizations.
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