Join us for insightful conferences featuring software training and industry case studies – invaluable opportunities for broadening knowledge of risk modelling and networking with decision-making professionals in a range of industries.

Benefits of Palisade Risk Conferences:

• Get more from @RISK and the DecisionTools Suite – Get exposure to the latest techniques in risk and decision analysis so you can apply them to your own models.  
• Learn from experts – Software training is delivered by Palisade consultants,trainers, and industry pros.  
• Networking opportunities – Share ideas and speak with presenters, other attendees, and Palisade staff to gain valuable insight from many backgrounds
• Expert Sessions – Bring your model and get one-on-one time with a consultant.

BigPicture and PrecisionTree are part of the DecisionTools Suite, an integrated set of programs for risk analysis and decision making in Excel. In this webinar, we’ll look at how BigPicture can be used to brainstorm, strategically map out processes and explore raw data. Then we’ll explore PrecisionTree, a powerful visual and analytical tool for mapping out complex, sequential decisions using decision trees directly in Excel. By using nodes, branches, and probabilities, you can represent and organize decisions ranging from oil prospecting to site development to options analysis. Working together, PrecisionTree's quantitative decision trees can be viewed directly in BigPicture, turning them into stunning visual maps that can be shared with any Excel user for presentation and discussion.

This simulation model follows a sample of 200 customers who each begin a year in a certain credit rating category and with a certain amount of credit exposure. By the end of the year, each customer has either defaulted or not, and in case of default, the percentage that can be recovered is uncertain. The simulation finds the total amount of loss from these customers and this total's percentage of the total amount of exposure. Also, it uses the RiskPercentile function at several confidence levels to find the amounts of reserve required to be confident of covering the losses.

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Renewables pose real challenges for utility operators, particularly solar and wind power. Renewables such as biomass, geothermal, and hydro, however, are as controllable as fossil fuel plants. How do you account for the uncertainty inherent in the more unpredictable sources of renewable energy? Using DecisionTools Suite products @RISK, Evolver, and RISKOptimizer, the author examines unique ways to approach these challenges from a simple spreadsheet.