Which distribution should you use to represent uncertain values in your spreadsheet model? This webinar provides an introduction to probabilistic analysis and Monte Carlo simulation right in your Excel spreadsheet using @RISK, demonstrating techniques that can be used for choosing a distribution to represent uncertain variables. We will look at a variety of examples to help you become more comfortable with choosing distributions to model uncertainty.
For more than 30 years, Palisade software and solutions have been used to make better decisions. Cost estimation, NPV analysis, operational risk registers, portfolio analysis, insurance loss modeling, reserves estimation, schedule risk analysis, budgeting, sales forecasting, and demand forecasting are just some of the ways in which the tools are applied. This webinar will demonstrate how easy – and necessary – it is to select distributions to use in quantitative risk analysis for any business.
This introductory webinar explores the basics of project and product valuation within the context of a larger pipeline. Uncertainty relating to cost, escalation over time, and unexpected delays are modeled. Also, we look at the process of release schedule optimization subject to various constraints, including budget, technical feasibility, and resource availability.
For more than 30 years, Palisade software and solutions have been used to make better decisions. Cost estimation, NPV analysis, operational risk registers, portfolio analysis, insurance loss modeling, reserves estimation, schedule risk analysis, budgeting, sales forecasting, and demand forecasting are just some of the ways in which the tools are applied. Our webinars demonstrate how easy – and necessary – it is to implement quantitative risk analysis in any business
This webinar covers key features that are new to 7.5:
22 new functions – 16 distribution functions and 6 new statistical functions. All of which are important for insightful estimation of uncertainty and provide useful statistics on simulation results data. Ranging from insurance risk to reliability engineering to modeling of household income, @RISK 7.5 has your risk analysis needs covered!
Improved tornado graphs – Tornado Overlays, Contribution to Variance and Input Shading to improve analysis and make sharing results much easier.
Faster optimization with RISKOptimizer – With speeds up to 4x faster, your time can be better spent on interpreting your results instead of waiting for your optimization to complete.
New @RISK 7.5 and DecisionTools Suite 7.5 offer a range of improvements for any decision maker, from general use enhancements to new, specialized analytical features. New and enhanced graphing options, faster performance, and sophisticated analytics make DecisionTools Suite 7.5 the only decision analysis toolset you’ll ever need! Sign up for one of our free webinars and learn about our new features!
In each webinar, we’ll cover key features that are new in 7.5:
New and Improved Tornado Graphs in @RISK
Faster Optimization with RISKOptimizer
Over 20 New @RISK Functions
Graphing and Reporting Improvements in @RISK
Join us for a free webinar to learn about more new features in @RISK 7.5 and DecisionTools Suite 7.5!
How do we insure a reliable energy supply when using renewable energy sources?
Solar power is inherently unreliable, fluctuating with time of day and degree of cloudiness. Wind power is a victim of air flow patterns. To prevent blackouts, renewable energy sources need to be backed up with conventional power sources. In effect, they require virtually 100% backup with fossil, nuclear, hydro sources of power. Think of the repercussions of a solar eclipse and calm winds on renewable energy output, which occurred in Europe in 2015.
In this free on-demand minicourse, Professor Roy Nersesian models the complexities of this problem – and demonstrates solutions – using @RISK for Excel.
Huybert Groenendaal, a managing partner at EpiX Analytics, discusses how to build accurate and effective @RISK models to help make strong decisions. He talks about what type distribution to choose, whether to include correlations, and how to present results in a way that supports decisions–all of which are incredibly powerful skills to have, especially paired with Palisade’s @RISK. Watch below to learn some of the basics of @RISK and how it can be used in various practical and helpful ways.
Do you use @RISK but haven’t explored the other Palisade Tools? It’s time you branched out to explore the DecisionTools Suite, which, in addition to @RISK for Monte Carlo simulation, includes PrecisionTree for decision trees, and TopRank for “what if” sensitivity analysis. In addition, the DecisionTools Suite comes with StatTools for statistical analysis and forecasting, NeuralTools for predictive neural networks, and Evolver and RISKOptimizer for optimization. All programs work together better than ever before, and all integrate completely with Microsoft Excel for ease of use and maximum flexibility.
To learn more, check out this introduction video to the Suite, given by Palisade expert trainer Rishi Prabhakar:
The video will give viewers a good understanding of of each of these separate products and how they work together.
Palisade expert trainer Rafael Hartke discusses how to use @RISK for cost estimation–more specifically, how to transform your deterministic models into probabilistic ones. This recorded webcast shows you how to add uncertainty as well as a risk register to your model.
About the trainer: Rafael Hartke is an Oil and Energy Industry Consultant at Palisade Corporation, where he works in the development and strategy of quantitative risk analysis methods. He has particular experience in the energy industry, having served as a Financial Engineer in Risk Management at Brazilian-based energy corporation, Petrobras in the Financial Planning and Risk Management department. There, he created risk models for complex investments and assessed project risks for medium and large projects, including Brazilian Pre-Salt giant fields, projects in the Gulf of Mexico, and offshore infrastructure projects.
Rafael has an MSc degree in Mechanical Engineering and is also a Global Association of Risk Professionals-certified Energy Risk Professional.
This recorded webcast, led by Palisade expert trainer Rishi Prabhakar, explores the use of VBA (the programming language for Excel) to control @RISK functionality to simplify the process of risk analysis for resource-strapped businesses. Rishi explains the advantages (and limitations) of macro control for modeling and running simulations. Check out the full webcast below!
Interested in learning more about controlling @RISK with VBA? Check out our written guide here.
About the trainer: Rishi brings a broad range of experience and expertise to the Palisade team. He has worked in and consulted to the energy industry, telecommunications, scientific research, banking and finance with an emphasis on operational risk and Basel II. Rishi has expert skills in the areas of statistical analysis, simulation, time series forecasting, risk/capital modeling, extreme value theory, survey design and analysis. He holds a BSc Mathematics from the University of Technology, Sydney.
In this webcast, Palisade trainer Rishi Prabhakar explores tips for using @RISK that will benefit the beginner and experienced user alike. There are many features of @RISK that can make your modeling life much simpler, if you only knew they were there!
Rishi covers topics such as overlaying distribution graphs for comparison, changing default setting to affect reports and the way functions are inputted, and sharing models and results with others. Save yourself time and learn how to get the most out of @RISK with minimal effort!
About the trainer: Rishi brings a broad range of experience and expertise to the Palisade team. He has worked in and consulted to the energy industry, telecommunications, scientific research, banking and finance with an emphasis on operational risk and Basel II. Rishi has expert skills in the areas of statistical analysis, simulation, time series forecasting, risk/capital modelling, extreme value theory, survey design and analysis. He holds a BSc Mathematics from the University of Technology, Sydney.