Unlocking Full Potential of Excel Data Tables (Part 2)

This is a sequel to my 'Unlocking Full Potential of Excel Data Tables (Part 1)' publication

This is the second part of my publication explaining an advanced and little-known method of using data tables for sensitivity analysis.

Data tables is a powerful tool to analyze sensitivities in Excel financial models.

A conventional data table is a one- or two-dimensional table showing the results of a calculation (model outputs) at various model inputs in the headings of rows and/or columns of the data table. In the attached files we will study the essential principles of data tables.

But the abilities of data tables go far beyond that. In the first part of this tutorial I have explained the basics of data tables and introduced some non-conventional ways of using data tables. We have:

1. Studied how to create them step-by step
2. Created advanced tables to show brief and expanded summary of key project parameters
3. Built a tornado chart

The first part is located here: https://www.eloquens.com/tool/aArZU2BG/finance/sensitivity-analysis-excel-templates-and-methods/unlocking-full-potential-of-excel-data-tables-part-1.

This part brings our data table techniques closer to real life of financial modeling. We will:

1. Learn how to link several data tables to the same model without cross-conflicts and interference with the inputs at which the model is displayed

2. Link models and data tables located on different worksheets

3. Create a check box to switch data tables on and off (as an alternative to turning off automatic recalculation of data tables

4. Draw a waterfall chart using data tables. Waterfall charts explain the move from one scenario to another in terms of the effect of every input’s change

This Best Practice includes
1 Excel file, 1 PDF file

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Further information

The tool allows to see the outcomes of a financial models simultaneously under several scenarios

Financial models with multiple scenarios



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  • ANRRZEJ WOLCZYNSKI(last updated: 18/07/2020 19:36)


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