Leading from Under the Sword of Damocles

Annie Drucbert

ISBN 10: 3662562995 / ISBN 13: 9783662562994

Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2018, 2018

A propos de cet article

Neuware -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 servesas a reference guide for business leaders and risk management practitionersof 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 currentbusiness models, strategies, organizational structure and information systemswhen 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.

N° de réf. du vendeur 9783662562994

Détails bibliographiques

• Titre: Leading from Under the Sword of Damocles
• Éditeur: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2018
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3662562995
• ISBN à 13 chiffres: 9783662562994
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 246 L x 173 H x 20 P (en millimètres) 246 millimètres de largeur par 173 millimètres de hauteur par 20 millimètres de profondeur
• Poids: 605 grammes

A propos de ce titre

Synopsis

Presents advanced predictive and prescriptive analytics principles to control riskHelps business leaders and risk management practitioners to gain a wider understanding of risksShows which actions are necessary to ensure the business is optimally positioned to meet its stated long-term goals

À propos de l?auteur

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.