✓ Solving the Dynamic Complexity Dilemma: Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm ↠ PDF Download by ↠ Nabil Abu el Ata eBook or Kindle ePUB free

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. Solving the Dynamic Complexity

• Title : Solving the Dynamic Complexity Dilemma: Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm
• Author : Nabil Abu el Ata
• Rating : 4.53 (103 Vote)
• Publish : 2016-6-21
• Format : Hardcover
• Pages : 281 Pages
• Asin : 364254309X
• Language : English

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. 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. 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.

Dr. from Paris-Sorbonne) and B.S. Dr. Abu el Ata's mathematical discoveries provided accurate coordinates for space exploration. Nabil Abu el Ata is the founder of Accretive Technologies and has invested over 20 years maturing the science and practical application behind the company's solution offering with over 15 patents. 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. Perks is a visiting professor of IT Integration at the University of York. He joined IBM in 1968 as a Systems Engineer. By solving a problem that was previously defined as unsolva

Mathematicians and academia can use this book to understand how a dynamic complexity problem can be accurately solved with the right level of representation and a good level of certainty on the reproducibility by using the combination of Causal Deconstruction Theory and Perturbation Theory.    This book is a starting point. For the last decade we have seen the compounding effects of dynamic complexity become an increasingly significant and counterproductive force within businesses. This book is intended for anyone who wants to explore new and better ways of predicting the future behavior of commercial systems, i.e. To document and contribute meaningfully to the science of business management, one must have many opportunities to work on problems, which are endemic to

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