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Solving the Dynamic Complexity Dilemma

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

  • Nabil Abu el Ata
  • Maurice J. Perks

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. The Business Challenge of Dynamic Complexity

    1. Front Matter
      Pages 1-1
    2. Nabil Abu el Ata, Maurice J. Perks
      Pages 3-12
    3. Nabil Abu el Ata, Maurice J. Perks
      Pages 13-18
    4. Nabil Abu el Ata, Maurice J. Perks
      Pages 19-28
    5. Nabil Abu el Ata, Maurice J. Perks
      Pages 29-35
    6. Nabil Abu el Ata, Maurice J. Perks
      Pages 37-41
    7. Nabil Abu el Ata, Maurice J. Perks
      Pages 43-47
    8. Nabil Abu el Ata, Maurice J. Perks
      Pages 49-54
    9. Nabil Abu el Ata, Maurice J. Perks
      Pages 55-61
    10. Nabil Abu el Ata, Maurice J. Perks
      Pages 63-69
    11. Nabil Abu el Ata, Maurice J. Perks
      Pages 71-79
  3. Dynamic Complexity Analysis The Foundation for the Solution

    1. Front Matter
      Pages 81-81
    2. Nabil Abu el Ata, Maurice J. Perks
      Pages 83-94
    3. Nabil Abu el Ata, Maurice J. Perks
      Pages 95-101
    4. Nabil Abu el Ata, Maurice J. Perks
      Pages 103-125
    5. Nabil Abu el Ata, Maurice J. Perks
      Pages 127-141
    6. Nabil Abu el Ata, Maurice J. Perks
      Pages 143-164
    7. Nabil Abu el Ata, Maurice J. Perks
      Pages 165-173
    8. Nabil Abu el Ata, Maurice J. Perks
      Pages 175-182
  4. The Application of Optimal Business Control

    1. Front Matter
      Pages 183-183
    2. Nabil Abu el Ata, Maurice J. Perks
      Pages 185-201
    3. Nabil Abu el Ata, Maurice J. Perks
      Pages 203-208
    4. Nabil Abu el Ata, Maurice J. Perks
      Pages 221-235
    5. Nabil Abu el Ata, Maurice J. Perks
      Pages 237-245
    6. Nabil Abu el Ata, Maurice J. Perks
      Pages 247-252
  5. Back Matter
    Pages 253-281

About this book

Introduction

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 the authors’ practical experiences, backed by scientific principles, and results achieved through consulting engagements with over 350 global organizations.

Keywords

Advanced Applied Mathematics Business Performance Complexity Dynamic Complexity Dynaxity Optimal Business Control Predictive Analytics

Authors and affiliations

  • Nabil Abu el Ata
    • 1
  • Maurice J. Perks
    • 2
  1. 1.Accretive Technologies Inc.New YorkUSA
  2. 2.Accretive Technologies Inc.New YorkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-54310-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-54309-8
  • Online ISBN 978-3-642-54310-4
  • Buy this book on publisher's site