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Data Validation and Iteration

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Financial Modeling

Data Validation and Iteration

As analysts are bombarded with a lot off data, one should be able to check data veracity. This is where

the data validation functions come in handy. Few excel functions incorporate power of iterations.

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Data Validation

It prevents invalid data entry in a worksheet.

o Select a cell.

o Go to Data tab, Data Tools group and click Data Validation.

o Validation tool can be selected from drop down list.

o On selecting the Data Validation from the drop down list, the dialog box named ‘Data Validation’ appears on the screen.

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Data Validation-Example

In the data furnished below, there is a limitation while projecting the ‘Comission/Bonuses’. It should be whole number and should not be greater than 5000. handle the situation with Data Validation.

o Select a cell.

o Go to Data tab, Data Tools group and click Data Validation.

o Select Data Validation from the list. Fill the requirements in the dialog box.

o Go to Input Message tab and enter some message.

Actual

Projected

Employee Costs

110 Payroll

45328

60000

120 IRS/FICA/Wk comp/State/SDI

15997

25000

140 Retirement Plan

6249

8000

125 Commissions/Bonuses

2720

4500

Subtotal

70294

97500

Subcontractors & Services

201 Telecommunication Services

637

700

254 Advertising

40

Subtotal

677

700

Total

70971

98200

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Data Validation-Example

o Select a cell.

o Go to Data tab, Data Tools group and click Data Validation.

o Select Data Validation from the list. Fill the requirements in the dialog box.

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Iteration Functions – Goal Seek

Goal Seek works on the terms of cause and effect scenarios. It helps a user to see the effect on one item in the formula on the other.

This can be used when you know the outcome of a formula but don’t know one input in the formula.

Location of Goal Seek

o Go to Data tab, Data Tools group and click What-if Analysis.

o Select Goal Seek from the list.

o On selecting Goal Seek, a dialog box similar to one shown in right appears on the screen.

o In Set cell box we have to fill cell whose value we know and value of the cell has to filled in next box i.e. To Value.

o By changing cell should be the cell reference that changes to bring the desired output.

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Goal Seek-Exercise

Calculate the EMI to be paid on a loan of Rs.1200 @ 2%/month for 6 months.

Formula:

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Enter the formula as shown and copy the formula to rest of the cells in the column.

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Final Outcome of the exercise.

Note:

End of Period balance becomes zero.

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Iteration Functions – Scenario Manager

A scenario is a named combination of values that is assigned to one or more variable cells in a what-if model. Scenarios to forecast the outcome of a worksheet model.

Location of Scenario Manager

o Go to Data tab, Data Tools group and click What-if Analysis.

o Select Scenario Manager from the list. o On selecting Scenario Manager, a dialog box

similar to one shown in right appears on the screen.

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The exercise is to see the effect of changes in Retail Price, COGS and/or Unit Seles Growth Factor on the profit of the company.

Scenario - Exercise

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Copyright© - IMS Proschool Pvt. Ltd.

Steps:

o Click Add button on the dialog. o In the Add Scenario dialog box

(Shown in image), fill any Scenario name.

o In Changing cells box, write, B3:B3,B10.

o Press Ok.

Scenario Manager-Exercise

39

Steps:

o In the Scenario Values dialog box, fill the alternative figures for each of the particulars so as to see the effect of change. o Press Ok.

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Copyright© - IMS Proschool Pvt. Ltd.

Steps:

o In the Scenario Manager, click Summary button.

o Press Ok.

Scenario Manager-Exercise

40

Steps:

o In the Scenario Summary dialog box, select Scenario summary radio button. o Select the Result Cells that shows the

effect of change (B15:I15). o Press Ok.

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Copyright© - IMS Proschool Pvt. Ltd.

Final Output

Scenario Manager-Exercise

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Iteration Functions – Data Table

A Data Table will show you, how by changing certain values in your formulas you can affect the result of your formula. Data Tables can store the results of many different scenarios in one table, so that you can analyse them to select which scenario is your best option.

Location of Data Table

o Go to Data tab, Data Tools group and click What-if Analysis.

o Select Data Table from the list.

o On selecting Data Table, a dialog box similar to one shown in right appears on the screen. o Follow the Example for better understanding

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Build a Sensitivity Analysis for revenue growth and % of sales of margin.

Template for the analysis:

Data Table – Exercise

Formula: =N10-N12

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Template for the analysis:

Data Table – Exercise

Shows sensitivity for % Growth of Revenues

Shows sensitivity for Cost Margins Reference to the cell that shows the effect of

changes in inputs. In this case, Gross profit of A09 (=N14).

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Steps:

1. Row input cell (=N8) 2. Column input cell (=10) 3. Press OK button.

Final Output of Data Table:

Data Table – Exercise

Check:

For Revenue % Growth of 15% and Cost Margin of 70%, the Gross profit is 345.

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Data Summarization – Pivot Table

It is a data summarization tool. It makes easier to arrange and summarize complex data for better analysis.

Location of Pivot Table

o Go to Insert tab, Tables group and click Pivot Table.

o Select PivotTable from the list.

o On selecting Pivot Table, a dialog box similar to one shown in right appears on the screen.

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Pivot Table - Exercise

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Pivot Table - Exercise

Steps:

1. Table Range A3:I25.

2. Click radio button ‘Existing Worksheet’. (One can use either option as per requirement)

3. Location , H7. (Can be changed as per requirement). Click ‘OK’.

4. A Pivot Area is created as shown

Steps:

5. Also a PivotTable Field List opens on the right side of worksheet. If it is not visible, then right click the Pivot Area and click ‘Show Field List’.

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Pivot Table - Exercise

Steps:

6. Drag and drop the field from list to areas as shown in the image in the right.

7. Gives the following output in the Pivot Area as shown below.

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Pivot Table - Exercise

Steps:

8. Color can be changed as per requirement. The final output of the pivot table which shows the year wise sale of products geographically.

References

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