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Time Series Forecasting

Miles_Waller
8 - Asteroid

Hi Everyone,

 

The topic I'm getting tripped up on right now is forecasting future sales rep commissions based on total sales amounts. I am not super familiar with the R Predictive Tools so I would appreciate some help. How do I go about doing this?

 

Note that in the output, I am more concerned about an estimated total sales rep commission amount than I am about an estimated distributor sales amount, but if I can get both that would be great.

 

Thanks!

 

Here is the example fake data:

 

Input (Historical Data):

QuarterTotal Distributor Sales ($)Total Sales Rep Commission Amount
2021-Q1

100000000

575000
2021-Q2105000000590000
2021-Q3105000000600000
2021-Q4125000000650000
2022-Q1106000000700000
2022-Q295000000650000
2022-Q3120000000750000
2022-Q4130000000700000
2023-Q1121000000800000

 

Desired Output (Forecast):

QuarterTotal Distributor Sales ($)

Total Sales Rep Commission Amount

2023-Q2
 

 

2023-Q3
 

 

2023-Q4
 

 

2024-Q1
 

 

2024-Q2
 

 

2024-Q3
 

 

2024-Q4
 

 

1 REPLY 1
mceleavey
17 - Castor
17 - Castor

Hi @Miles_Waller ,

 

the best way for you to get started with this is to try the example workflows using the AMIRA and ETS tools. You can access this by right-clicking on either one and selecting "open example":

 

mceleavey_0-1686678654561.png

This will walk you through how they work.

You have the data in the right format, in that each row represents the time series element (period) you wish to predict.

 

There are more resources here:

 

https://help.alteryx.com/20231/designer/time-series

https://community.alteryx.com/t5/Alteryx-Designer-Desktop-Knowledge-Base/Performing-Time-Series-Fore...

https://help.alteryx.com/2018.3/ToolCategories/TimeSeries.htm

 

I hope this helps,

 

M.

 



Bulien

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