PROPORTIONAL
Keep the target proportions.
The existing data determines the distribution.
IBM PLANNING ANALYTICS · DATA SPREADING
Two spreading methods in TM1. The difference: where do the proportions used to distribute your new plan value come from?
Proportional uses the existing distribution in the target area. Relative proportional uses a reference distribution, such as the monthly proportions from the previous year.
What is the difference between proportional and relative proportional spread?
Proportional spread uses the existing data as the distribution key. For example, if January, February and March in the first quarter contain €100, €300 and €600, the proportions are 10, 30 and 60 percent. If you want to distribute €1,500 across the first quarter, the resulting values are €150, €450 and €900. This is the standard behaviour in TM1.
Relative proportional spread does not use the current distribution. It uses a reference distribution instead. For example, if the current quarter does not yet contain suitable data and you want to use the distribution from the first quarter of the previous year, you can do so with relative proportional spread.
If you distribute €1,500 using the distribution from the first quarter of the previous year, the resulting values are €150, €450 and €900.
To summarise:
Proportional spread uses the current distribution.
Relative proportional spread uses a reference distribution.
Would you like to see relative proportional spread in practice? I recommend the video linked below.
THE DISTRIBUTION BASIS MATTERS
First choose the distribution that fits your plan. Then specify the amount you want to distribute.
| Decision | Proportional | Relative proportional |
|---|---|---|
| Distribution key | Existing values in the target area | Values beneath a reference cell |
| When to use it | Keep the current distribution. | Use a different distribution as a template, such as the previous year’s. |
| Choose a reference | Not required | Required |
| Starting point | A cell or a contiguous range of cells | A consolidated target cell; a reference with the same consolidations |
SAME AMOUNT · DIFFERENT DISTRIBUTION
The current plan contains €200, €500 and €300 for January, February and March. On the left, these proportions stay the same. On the right, choose a reference and see how its monthly proportions change the new plan.
PROPORTIONAL
The existing data determines the distribution.
RELATIVE PROPORTIONAL
Choose a sample reference. Its monthly values provide the proportions for your current plan.
IN PLANNING ANALYTICS WORKSPACE
Right-click to open “Spread data options”. For relative proportional spread, start from the consolidated target cell — the quarter in this example.
Enter the new amount. For relative proportional spread, also select the reference cell. The target and reference must use the same consolidations.
Select “Replace” for this example. Check the affected area before clicking “Apply”. Then check the monthly values and their total.
A TYPICAL PLANNING SCENARIO
You are planning a new quarter that does not yet have a suitable distribution. You want to use the previous year’s proportions as a starting point. Relative proportional spread fits this scenario.
Use a suitable reference with the distribution you want.
You set the plan amount. It does not have to match the reference total.
The monthly proportions follow the reference. The original reference values remain the template.
FREQUENTLY ASKED QUESTIONS
The reference supplies the proportions. You specify the amount to distribute. For example, the “Previous year · Q1” reference has a total of €1,000, which you can use to distribute a new plan amount of €1,500.
Yes, provided the reference uses the appropriate consolidations. Select the reference cell and the new target amount. Separately assess whether the previous year’s proportions suit your current plan.
This method requires a consolidated target cell. It is not available for an individual leaf cell. The menu offers methods based on the selected cell or range.
No. This method distributes an amount using a reference distribution. Percentage change is a different spreading method that adjusts values by a percentage.
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Apply proportional spread in a cube view.
Watch the video ↗SPREADING · ANOTHER METHODExplore another way to adjust your plan values.
Watch the video ↗PLANNING ANALYTICS · THE BASICSUnderstand the database, browser interface and Excel.
See how they work together ↗
Florian KaiserPlanning Analytics consultantFROM EXPLANATION TO PRACTICE
Whether you want to distribute plan values, make data entry easier or improve existing workflows, I can help you implement your requirements in IBM Planning Analytics.
Discuss your project ↗Based on my video and the following IBM documentation. Checked on 19 September 2026.