Leverage Monte Carlo Simulation to Analyze and Control Risk Effectively with Analytic Solver Simulation®
Date/Time: Wednesday, January 15, 2025 at 9:00 AM PST
Duration: 60 minutes
This webinar is ideal for you if:
- You are considering Monte Carlo simulation add-ins for Microsoft Excel, such as @RISK or Crystal Ball, yet find them limited to the confines of Excel.
- You want to go beyond risk analysis and make optimized decisions.
- You want to find robust optimal solutions that are effective across a wide range of future scenarios.
- You want to take the initiative and empower yourself with decision intelligence.
- You want to make the model results and insights easily available to those who need them by deployment to the cloud and creating a custom web application for example.
- You have an @RISK model and want an easy way to convert it to an Analytic Solver model to go beyond Excel.
Instructor: Dr. Sima Malek
My name is Sima Maleki. I have my PhD in Industrial and Systems Engineering. I’ve been able to help business analysts like you quickly learn to build risk analysis models that yield insights – and action plans to mitigate risk. I look forward to answering your questions in these live webinars!
Join us as we delve into features and capabilities of Analytic Solver Simulation in Excel and beyond. Acquire practical skills to empower confident decision-making in the presence of uncertainty and risk.
- Analyze and control risk with Monte Carlo simulation modeling in Excel.
- Find robust solutions with cutting-edge technology under conditions of risk and uncertainty.
- Seamlessly convert @RISK models to Analytic Solver models in just one step.
- Gain a visual, systematic, and structured approach to decision-making using decision trees and decision tables.
- Experience unparalleled freedom beyond Excel: effortlessly deploy your models to the cloud, craft custom applications, and explore limitless possibilities.
We look forward to your joining us. In the meantime, please feel free to share any questions, comments, or feedback with us at: Consulting@solver.com.