The Failure of Risk Management: Why It's Broken and How to Fix It, Hardcover

A practical guide to adopting an accurate risk analysis methodology

The Failure of Risk Management provides effective solutionstosignificantfaults in current risk analysis methods. Conventional approaches to managing risk lack accurate quantitative analysis methods, yielding strategies that can actually make things worse. Many widely used methods have no systems to measure performance, resulting in inaccurate selection and ineffective application of risk management strategies. These fundamental flaws propagate unrealistic perceptions of risk in business, government, and the general public. This book provides expert examination of essential areas of risk management, including risk assessment and evaluation methods, risk mitigation strategies, common errors in quantitative models, and more. Guidance on topics such as probability modelling and empirical inputs emphasizes the efficacy of appropriate risk methodology in practical applications.

Recognized as a leader in the field of risk management, author Douglas W. Hubbard combines science-based analysis with real-world examples to present a detailed investigation of risk management practices. This revised and updated second edition includes updated data sets and checklists, expanded coverage of innovative statistical methods, and new cases of current risk management issues such as data breaches and natural disasters.

• Identify deficiencies in your current risk management strategy and take appropriate corrective measures
• Adopt a calibrated approach to risk analysis using up-to-date statistical tools
• Employ accurate quantitative risk analysis and modelling methods
• Keep pace with new developments in the rapidly expanding risk analysis industry

Risk analysis is a vital component of government policy, public safety, banking and finance, and many other public and private institutions. The Failure of Risk Management: Why It's Broken and How to Fix It is a valuable resource for business leaders, policy makers, managers, consultants, and practitioners across industries.

Decision-makers at organizations in any field rely on risk management and analysis methods presumably to improve critical decisions. However, commonly used methods show little evidence of improving decisions. Instead, they could actually make decisions worse.

This is because many of the most popular risk management tactics aren't rooted in sound quantitative analysis. In the Second Edition of The Failure of Risk Management, Douglas W. Hubbard, inventor of Applied Information Economics (AIE), addresses how organizations and governments can perform risk analysis properly. He also explains how many basic methods are misapplied, helping readers better understand what steps they must take to improve their risk management techniques.

This latest edition of The Failure of Risk Management is particularly useful to decision-makers adapting to a fast-changing world. It includes updated examples citing such recent events as natural disasters and data breaches, describes additional statistical methods, and incorporates updated research. The reader learns about effective methods which can start simple and evolve as needed.

Douglas Hubbard is the ideal author to share this knowledge. His AIE methodology has been used by organizations in numerous fields, including cybersecurity, aerospace, biotech, commercial real estate, entertainment, and military logistics, among many others. Leveraging decades of experience in risk management, as well as real-world case studies, he identifies key weaknesses preventing organizations of all kinds from improving their risk management techniques. Additionally, he identifies which methods have been shown to work.

Effective risk management plays an essential role in effective decision- making. By applying the insights provided in this book, you'll find yourself (and your organization as a whole) making smarter decisions based on techniques that have shown a measurable benefit.

DOUGLAS W. HUBBARD is the inventor of Applied Information Economics (AIE). His methodology has earned him critical praise from Gartner and Forrester Research. He is also the author of How to Measure Anything: Finding the Value of Intangibles in Business and How to Measure Anything in Cybersecurity Risk. His articles appear in Nature, The American Statistician, The IBM Journal of R&D, InformationWeek and many more. He has over 30 years of experience in management consulting focusing on the application of quantitative methods in decision making