We are offering a series of free webinars on the new 4.0 Enterprise SIPmath Modeler Tools for Windows, hosted by Sam Savage and Brian Putt. For a limited time, webinar attendees will receive 30% off the Enterprise tools, a savings of $150.

 
Sam Savage Executive Director

Sam Savage
Executive Director

Brian Putt Chair, Applications and Technical Support

Brian Putt
Chair, Applications and Technical Support

 
 

Webinar Descriptions

Wednesday June 10, 11:00 AM - 12:00 PM PDT

Introduction to the 4.0 Tools

This webinar will start with the basics of using either the Free or Enterprise versions of the SIPmath Modeler Tools for Excel. We will then briefly describe the exciting new features of the 4th generation tools below.

  • Advanced HDR generator from Hubbard Decision Research

  • Scatterplots of input and output cells

  • Multi-scenario simulation and multi-scenario libraries

  • Save and retrieve PMTable sheets for advanced analysis

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Tuesday June 23,
11:00 AM - 12:00 PM PDT

Scenario Analysis on Steroids

This webinar will show how to create scenarios based on several variables such as discount rates, price levels, political upheaval, etc., which may easily be run through a single simulation model. The new Repeated Save command coupled to “Enigma” formulas automatically create SIP Libraries containing multiple scenarios. These may be accessed by other models that can in turn filter the results by scenario. Topics include:

  • Using the HDR Generator to coordinate models

    The “Enigma” formulas for performing experiments with arbitrary numbers of variables

  • The Repeated Save command

  • Filtering the results on Input and Output

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Thursday July 9,
11:00 AM - 12:00 PM PDT

More Power to the PMTable

The PMTable sheet is the heart of SIPmath in Excel, as it is the location of the Data Table that allows the simulation to run in native Excel. This webinar will show how to use the new “Save PMTable” command, which lets you save multiple versions of your analysis. For example, you may perform a multiple output simulation, save the resulting PMTable, then run a single output multiple experiment, save that PMTable, then return to the original. This also enables complex analysis techniques to include: 

  • Storing a base or reference case for comparison

  • Sensitivity analysis

  • Tornado diagrams

  • Critical path identification

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