Overview
- Presents advanced predictive and prescriptive analytics principles to control risk
- Helps business leaders and risk management practitioners to gain a wider understanding of risks
- Shows which actions are necessary to ensure the business is optimally positioned to meet its stated long-term goals
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Table of contents (23 chapters)
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Front Matter
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Using Predictive Emulation to Expose and Control Risk
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Front Matter
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Making Decisions Using X-Act OBC Platform Metrics: Example Cases
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Front Matter
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Keywords
About this book
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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Leading from Under the Sword of Damocles
Book Subtitle: A Business Leader’s Practical Guide to Using Predictive Emulation to Manage Risk and Maintain Profitability
Authors: Nabil Abu el Ata, Annie Drucbert
DOI: https://doi.org/10.1007/978-3-662-56300-7
Publisher: Springer Vieweg Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2017
Hardcover ISBN: 978-3-662-56299-4Published: 03 April 2018
Softcover ISBN: 978-3-662-58574-0Published: 09 December 2018
eBook ISBN: 978-3-662-56300-7Published: 20 March 2018
Edition Number: 1
Number of Pages: XVI, 233
Number of Illustrations: 157 b/w illustrations
Topics: Information Systems and Communication Service, IT in Business, Risk Management, Economic Theory/Quantitative Economics/Mathematical Methods, Business Strategy/Leadership