In this tutorial, you started Crystal Ball, opened the tutorial example model, defined assumptions and forecasts, ran the simulation, and reviewed and customized forecast charts. By experimenting with certainty values, you explored a few questions that Vision Research executives might ask as they analyzed the results of the simulation.
As you read through the Oracle Crystal Ball User's Guide, you will learn more about customizing forecast charts, creating other kinds of charts, interpreting the descriptive statistics, and printing comprehensive reports for any simulation. Crystal Ball provides these features so that you can quantify the risk inherent in the assumptions.
Crystal Ball keeps the assumption and forecast definitions (but not the forecast values) with the spreadsheet. When you save the spreadsheet, the definitions are saved with it. To learn about saving and restoring forecast results, see Saving and Restoring Simulation Results.
The following section, Tutorial 3 — Improving Process Quality, shows how to use Crystal Ball in the Analyze and Improve phases of Six Sigma and other process quality improvement methodologies.