Introduction to Monte Carlo Simulation using @RISK 8

Despite a highly uncertain future, both short- and long-term, governments and businesses must strive to make informed decisions. Should we invest in a new opportunity, and how much? What is an appropriate contingency for this project? What revenues could we anticipate from our core products? Which key value drivers should we focus on? Which product mix is optimal? Monte Carlo Simulation provides a technique that assists decision-makers with these, and many other questions, by taking the uncertainty into account in a spreadsheet model. @RISK 8 performs the simulation directly in your spreadsheet model to provide reasonable and justifiable statistical answers to your most important questions. What is the probability of failure? What is the expected value of next year’s profit? What is the P90 of the total project cost? In this introductory webinar, we will explore how @RISK 8 integrates with Excel, and models uncertainty with access to a wide range of distributions, time series, and correlation structures. Historical data can be used to build these, or estimation methods can be used. @RISK 8 has many reporting features to communicate your results, with both standard and customizable reports as well as user-defined templates. We will use @RISK’s built-in example files to highlight these features, so you can easily follow along and revisit or reproduce the results at a later date.