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Explains why risk plans based on experience and statistical models often miss major sources of risk, in areas as diverse as information technology, business, government, environment, healthcare, and economy
Provides a blueprint of how to use mathematical emulation to expose and monitor unexpected sources of risk
Includes risk management use case examples for IT reengineering projects, business transformation projects, competitive strategy, supply chain management, healthcare, and economy

The authors offer a revolutionary solution to risk management. Its the unknown risks that keep leaders awake at nightwondering how to prepare for and steer their organization clear from that which they cannot predict. Businesses, governments and regulatory bodies dedicate endless amounts of time and resources to the task of risk management, but every leader knows that the biggest threats will come from some new chain of events or unexpected surprisesnone of which will be predicted using conventional wisdom or current risk management technologies and so management will be caught completely off guard when the next crisis hits. By adopting a scientific approach to risk management, we can escape the limited and historical view of experience and statistical based risk management models to expose dynamic complexity risks and prepare for new and never experienced events.


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https://www.amazon.fr/Tyranny-Uncertaint...3662491036

The Tyranny of Uncertainty: A New Framework to Predict, Remediate and Monitor Risk
https://mega.nz/#!u8M1nYYa!jcEzYBWdgFp_1...MS_6QtjI7o
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