When to Use Allocations Instead of Disaggregation

Learn when to use allocations instead of disaggregation in SAP Analytics Cloud to handle more complex, cross-dimensional planning scenarios with structured and repeatable logic.
Beginner
June 23, 2025

Disaggregation and allocations are both used to distribute data in SAP Analytics Cloud (SAC)—but they serve very different purposes. Knowing when to use one over the other is key to building accurate, efficient, and scalable planning workflows. This article explains the distinction and helps you decide which tool best fits your planning needs. 

Disaggregation vs. Allocation

Feature Disaggregation Allocation
Definition
Spreads values from parent to leaf within the same dimension
Redistributes values across dimensions or data slices using logic
Triggered by
Manual input in a story table
Predefined step in a data action
Scope
Simple and local
Cross-dimensional and structured
Logic
Equal, proportional, or rule-based (via planning panel)
Fully customizable via drivers, filters, and source-target mapping
Reusability
Happens during input
Reusable in data/multi actions

Choosing Between Allocations and Disaggregation

Use Allocations When… Use Disaggregation When…
You need to move data across dimensions
You’re entering a value at a parent and want SAC to break it down
Your logic involves reference data or drivers
Your logic is straightforward (equal or proportional split)
You want to automate the flow across models, versions, or time
You’re doing one-off top-down input in a table

When to Use Allocations.

Use allocations when your planning task requires more than just a breakdown of a number. Choose allocations if you need to: 

  • Move data across versions, time periods, or entities 
    • e.g., shifting Q1 values into Q2, or from “Working Budget” to “Forecast” 
  • Distribute overhead or shared costs using a driver 
    • e.g., spreading corporate marketing spend to regions based on sales contribution 
  • Allocate across dimensions 
    • e.g., moving data from one cost center to several others, or from product category to SKU level 
  • Apply structured, repeatable logic 
    • Allocations can be built into data actions and reused across planning cycles 
  • Enforce consistent logic across users and teams 
    • Since allocations are centrally defined, they ensure everyone uses the same rule set 

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