Statistical Gizmos and the UK Election

The recent elections in the United Kingdom provided a really fun opportunity to see how extensively statistical decision evaluation and predictive modeling have penetrated popular culture.  The British press outdid themselves with online graphical gizmos that allowed readers to set the terms for outcome scenarios and let those spin out in true operations management style. […]

June 2010 – Worldwide Training Schedule

Palisade Training services show you how to apply @RISK and the DecisionTools Suite to real-life problems, maximizing your software investment. All seminars include free step-by-step books and multimedia training CDs that include dozens of example models. North America 1-2 June 2010, Calgary, ABDecision-Making and Quantitative Risk Analysis using @RISK 1-3 June 2010, Calgary, ABDecision-Making & […]

Put More Science into Cost Risk Analysis

At the 2010 Palisade Risk Conference in London, John Zhao of Statoil used a mock cost estimate contingency model to demonstrate how @RISK simulation functions can yield a more realistic project contingency through integrated qualitative risk assessment and quantitative risk analysis. While future oil prices may be hard to predict due to low manageability, it […]

The Economics of Supply Chain Risk Management using @RISK

At the 2010 Palisade Risk Conference in London, David Inbar of Minet Technologies presented a talk on supply chain risk management. Supply chain risk management is an emerging field which has been growing significantly in importance because of modern management concepts such as lean, globalization and outsourcing. The mutual dependencies and close collaboration in modern […]

Free Webcast this Thursday: Targeted Analyses and Compelling Communication: A Formula for Successful Value Creation in Management Science

The value of quantitative science projects too often remains unrealized for would-be consumers. Despite flawless analyses, sophisticated reports and dazzling presentations, the message goes unheeded by those who could most benefit: If only they understood how to operationalize the results. The clarity with which quantitative scientists view the practical application of results is often paralleled […]