# ROLLFORWARD

## Basic Overview

Description Rolls the values of OriginalNode forward with the influence of Node1 and other optional Nodes. The rollforward starts after the last value along the finest time level and is done for each shared dimension individually. If Node is not of type percent, the percentage-wise differences are calculated relative to the first value of the Node. Both nodes need to have the time dimension available. The dimensions of OriginalNode are retained and determine the dimensionality of the result. Node1 is rolled up according to its aggregation function to match the dimensions of OriginalNode.The difference between this function and ROLLFORWARD_MUL is how they treat multiple influence nodes. ROLLFORWARD sums up the effects and then applies them to the OriginalNode. ROLLFORWARD_MUL multiplies up the effects and then applies them to the OriginalNodeThe first argument is optional. The rollforward will work as if a "flat" growth was supplied.See examples of usage at in our Tutorials in the Training Center: Training Center (DE) ROLLFORWARD('OriginalNode' [, 'Node1', …]) OriginalNode: Input node, specified using the node name in single quotes (e.g. 'Revenue')Node1: Input node, specified using the node name in single quotes (e.g. 'Revenue')

## Example

### Rollforward with a Percentage Node as Input

OriginalNode =

Year

Revenue

2016

95

2017

100

Inflation (Unit:Percent) =

Year

Inflation in %

2017

0.02

2018

0.1

2019

0.2

Output ROLLFORWARD('OriginalNode', 'Inflation')

Year

Revenue

2016

95

2017

100

2018

110

2019

132

### Rollforward with an absolute Node as Input

Market in EUR:

Year

Market Size

2017

10000

2018

10100

2019

10500

Output ROLLFORWARD('OriginalNode', 'Market')

Year

Market Size

2016

95

2017

100

2018

100+(10100/10000) = 101

2019

101+(10500/10100) = 102,03

### Rollforward with multiple driver nodes

When working with multiple drivers, the effects are calculated and applied individually per time period (e.g. year).

Inflation in Percent:

Year

Inflation

2017

10%

2018

10%

2019

10%

Growth in Percent:

Year

Growth

2017

20%

2018

20%

2019

20%

Revenue in EUR:

Year

Revenue

2017

1000

ROLLFORWARD('Revenue','Inflation','Growth'):

Year

ROLLFORWARD(...)

2018

1000 + (1000 * 0.1) + (1000 * 0.2) = 1300

2019

1300 + (1300 * 0.1) + (1300 * 0.2) = 1690

See ROLLFORWARD_MUL if you prefer to have the effects "influence each other" in the respective time periods.

If 'Node 1' relates to a EUR node, it will be interpreted as a market, and transformed to a YoY-growth. Then the resulting growth is applied.

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