Leading from Under the Sword of Damocles (eBook)

A Business Leader’s Practical Guide to Using Predictive Emulation to Manage Risk and Maintain Profitability
eBook Download: PDF
2018 | 1st ed. 2017
XVI, 233 Seiten
Springer Berlin Heidelberg (Verlag)
978-3-662-56300-7 (ISBN)

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Leading from Under the Sword of Damocles - Nabil Abu el Ata, Annie Drucbert
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Globalization trends and the rapid pace of technological innovations have introduced unprecedented change and uncertainty. For unprepared businesses, the drivers of the Fourth Industrial Revolution will become a constant source of surprise and crises will unfold at an ever-increasing rate. To thrive under these conditions, companies must adopt new risk management technologies and practices that enable business leaders to better anticipate and adjust to changing dynamics.
This book helps readers understand how algorithm-based predictive and prescriptive analytics principles can be used to control risk in today's dynamic business environment. It serves as a reference guide for business leaders and risk management practitioners of companies that are global in reach or operate dynamically complex systems. Using the technological and scientific innovations presented in this book, business leaders can gain a wider understanding of risk and prescriptively determine which actions are necessary to ensure the business is optimally positioned to meet its stated long-term goals and objectives.
Case studies show how the presented methods can be practically applied to preemptively expose risks and support decisions to optimize, transform or disrupt current business models, strategies, organizational structure and information systems when necessary to maintain a market position or outperform competitors.
These methods have been proven through hundreds of client cases. By using mathematical emulation to link business risks to strategic imperatives, it becomes possible to achieve a higher annual profit margin and better growth. As we enter the Fourth Industrial Revolution, companies that are able to expose risks caused by dynamic complexity and maintain the alignment between the goals of the business and operational execution will be better prepared to make the shifts necessary for long-term success and keep the business moving toward its goals.



Dr. Nabil Abu el Ata is the co-founder of URM Group, and has invested over 20 years in
maturing the science of risk management and the practical application of technologies to
predictively expose and prescriptively treat operational risks caused by dynamic complexity.
With over 15 patents and decades of experience providing consultative services to some of the world's largest and most complex organizations, he offers a breadth of analytical skills, risk
management and business intelligence expertise, as well as IT and business process management knowledge. 

Annie Drucbert is a co-founder of URM Group and a recognized authority in the predictive and prescriptive analysis of economic, financial and enterprise systems. Mrs. Drucbert's specialties include modeling, emulation and performance management of complex database and corporate systems. Mrs. Drucbert holds 3 US patents and has delivered strategic, tactical and operational services using X-Act OBC Platform for several global clients.


Dr. Nabil Abu el Ata is the co-founder of URM Group, and has invested over 20 years inmaturing the science of risk management and the practical application of technologies topredictively expose and prescriptively treat operational risks caused by dynamic complexity.With over 15 patents and decades of experience providing consultative services to some of the world’s largest and most complex organizations, he offers a breadth of analytical skills, riskmanagement and business intelligence expertise, as well as IT and business process management knowledge. Annie Drucbert is a co-founder of URM Group and a recognized authority in the predictive and prescriptive analysis of economic, financial and enterprise systems. Mrs. Drucbert’s specialties include modeling, emulation and performance management of complex database and corporate systems. Mrs. Drucbert holds 3 US patents and has delivered strategic, tactical and operational services using X-Act OBC Platform for several global clients.

Introduction.- The Looming Danger: Mismanaging Risk.- Dynamic Complexity: The Cancer of Business.- The Loose Cubic Dilemma.- Meeting Business Targets and Constraints.- the Basics of Universal Risk Managment.- the Challenge: Esacaping the Tunnel Vision, Identifying the Best Path and Evaluating the Reward.- Analytical vs. Numerical Solutions.- Using X-act OBC Platform for Risk Management.- Predictive and Prescriptive Risk Management.- The Predictive Estimation of Dynamic Complexity.- Identifying the Cure for Dynamic Complexity: Improve, Transfor or Disrupt?.- X-Act OBC Platform Metrics Guide the Disruption Decision.- The Prescriptive Analysis: The Three + One Rule.- Getting Started with Universal Risk Management.- X-Act OBC Platform Walk Through.- Using X-Act OBC Platform for Predictive Diagnosis and Prescriptive Treatment of Risk.- Case #1: Managing Corporate Risk, Global Payment Card Processing Company.- Case # 2: Managing Market Erosion Risk, Postal Services.- Case #3: Managing Operational Risk, Global Supply Chain.- Case #4: Managing Risk of Cost Escalation and Service Quality Degradation, National Healthcare Services.- Case #5: Managing Risk of Corporate Integration, Global Financial Institution.- Making a Commitment to Maturing Risk Management.- Index.

Erscheint lt. Verlag 20.3.2018
Zusatzinfo XVI, 233 p. 157 illus.
Verlagsort Berlin
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Netzwerke
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Wirtschaft Betriebswirtschaft / Management Wirtschaftsinformatik
Schlagworte Aging Acceleration • Big Data • causal deconstruction • Dycom • Dynamic patterns • Engineering Efficiency • fourth industrial revolution • Industrie 4.0 • management practices • model-based architecture • Optimal Business Control • perturbation theory • Risk Index • Risk Management
ISBN-10 3-662-56300-2 / 3662563002
ISBN-13 978-3-662-56300-7 / 9783662563007
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