
Publisher's description
The most useful collection of add-ins for people who use Excel as a decision making tool: to build, understand, communicate or audit more robust models, quicker.
It also includes a collection of over 70 financial calculators ready to use in your Excel spreadsheets.
If you already bought any add-in which is part of Model Assistant Suite, then you are entitled to acquire the rest of components paying only the difference.
Size: 39.82MB
Cost: $375.00
What's New in this Release: The Add-ins were updated and more tools were added.
Platform: Win98,WinME,Windows2000,WinXP,Windows2003
License: Free To Try
Category:
Business::Accounting & Finance
Date Added: Aug 17, 2008
Date Updated: Nov 25, 2008
Last Release Date: Sep 30, 2008
Page Visit: 2
Malware Status: Clean
Scan Date: Nov 27, 2008
Link to this page
FinanCalc for Excel (Full) |
FinanCalc for Excel is a special financial calculators toolbox for users who need to solve the most usual financial calculations directly into their Excel spreadsheets.
Loan Advisor for Excel (Full) |
Loan Advisor for Excel is a toolbox with many loan calculators for users who need a tool to establish and compare different loan options.
Model Analyzer for Excel |
Perform magic and save time with Model Analyzer for Excel. Decide among multiple investment alternatives. Analyze multiple scenarios and how sensitive certain variables are.
Model Builder for Excel |
Model Builder for Microsoft Excel: Build, Audit and Manage small or big spreadsheets models easier and faster.
ProjectBoard |
ProjectBoard is an effective projects' information management software for your Teamwork.
Spreadsheet Goal Seeker |
With Spreadsheet Goal Seeker, empower the Goal Seek function of your Microsoft Excel and get your sought solutions.
Stock Quotes for Excel |
Automatic update and management of Stock Quotes, Market Indexes, Mutual Funds directly to your Microsoft Excel spreadsheet.
What-if Analysis Manager |
What-if Analysis Manager is a tool that will allow you to simply and intuitively identify and evaluate the impact of variations in your model?s critical variables.
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