Forecasting with Excel’s Powerful Sensitivity Tools is free courtesy of Wolters Kluwer
Financial analysis is an area of opportunity and risk. Analysis should incorporate tests of sensitivity to changes in key variables using the most advanced tools available. Typical financial models do not effectively utilize these tools. This exposes the analyst to blind spots in their analysis. Analysts will want to obtain and become proficient in the use of the more sophisticated “what if” analysis tools of the trade.
Take this course and demonstration on Excel to unleash its powerful sensitivity tools to get the full power out of your financial models. Improve the design of your models to take advantage of these tools in just 2 hours. Experienced CGMA and financial analyst, Miles Hutchinson will demonstrate these tools for you using Microsoft Excel. He will provide practical instructions and guidance for applying them and identify the key cautions to help you avoid potential misfires.
Publication Date: June 2023
Financial Analysts, Business Analysts, Information Reporting Officers, Tax Managers, Compliance Officers, Compliance Managers, CFOs, Controllers, Accounting Managers, Auditors, Risk Managers
- Best practices for designing efficient forecasting model
- Applying Scroll Bars to individual cells to flex them over their relative ranges with the touch of your mouse
- Using Goal Seek to discover how much a single variable must move to reach a desired outcome
- Using Data Tables with one or two-inputs to deliver an array of outcomes from your model in just seconds
- Using Scenario Manager to store selected groupings of inputs and resulting outcomes
- Recognize the 20 rules of effective model design
- Identify best practices for designing efficient forecasting models and how to apply scroll bars, goal seek, data tables, and scenario manager to your models
- Identify how to apply scroll bars, goal seek, data tables, and scenario manager to your models
- Recognize how to utilize Data Tables with one or two-inputs to deliver an array of outcomes from your model