Hello
I am trying to build a forecast model that can predict future hardware demands for each business organization and each asset type combination.
I have three years data and the number of demands per org, per asset, per year, and I am trying to build a forecast model based on that info.
The results I am getting assume that each of those combination is a different year, which is wrong, I only have three years and many org/asset combination and I am trying to make the model to build a standalone prediction for each of those combos I have.
I am using TS Model Factory. Below is a small sample of the combos.
Any idea if I am using the right tool or how to build the iteration for each combo?
Org ID | Asset ID | Year | Sum_Transaction |
1 | 5 | 2022 | 1460 |
1 | 5 | 2023 | 645 |
1 | 11 | 2023 | 282 |
1 | 11 | 2024 | 250 |
2 | 10 | 2024 | 1 |
2 | 11 | 2022 | 17 |
2 | 11 | 2023 | 93 |
2 | 11 | 2024 | 39 |
7 | 5 | 2022 | 2904 |
7 | 5 | 2023 | 3783 |
Solved! Go to Solution.
It is working now!
Here is what I did:
1- I broke down the data into months like explained.
2- I added TS Forecast Factory node after the TS Model Factory, which what I was missing to iterate the forecast based on the desired periods. The data must be grouped and sorted first by the date column before the org-asset group.
Many thanks Alex for your great help and guidance, really appreciate it!