Each fiscal year, most compensation teams introduce changes and updates to plans to reflect changes in the company’s sales strategies. For example, a new product may be introduced, prices and costs may change, and compensation elements such as commission rates and bonuses may fluctuate. To approach these challenges, it is helpful to have a method to test the effects of changes to a plan without having to create a new plan in the production environment. This can be done in Incentive Management using Modeling.
Modeling helps administrators test out different compensation plan scenarios before implementing them, to ensure that proposed changes align with the company's goals and yield the desired outcomes. The modeling tool provides a detailed analysis at both the macro and micro-levels. It allows administrators to see the big-picture impact, as well as the individual payee-level effects. By using historical sales data, the tool can predict the outcomes of proposed changes accurately.
Most importantly, running a model has no effect on production data, which allows compensation planners to run scenarios securely with no risk of affecting current payouts.
Modeling empowers compensation administrators to:
- Modify plans and simulate the effects of proposed changes before making changes to upcoming plans.
- Model individual or selected plans.
- Make informed decisions to maximize business outcomes.
After designing a model scenario, users can perform a Model Run. A Model Run uses the Pipeline engine to generate model period data from historical primary measurements based on the specifications you provide as you build the model.
Setting Modeling Permissions
To access Modeling, the user must belong to a role that grants access to the Modeling workspace. As with other roles, this access can include Read, Workspace, Create, Update, and Delete options.
Components that can be Adjusted in a Model
The following components can be adjusted when creating a model:
- Rules
- Rate tables
- Fixed Values
- Formulas
- Territories
- Lookup Tables
- Variables
Setting the Source Periods for a Model
The "Source Date for Model" refers to the period range from which actual data is obtained and model data is created. A source period serves several main functions: it enables determining which plans can be incorporated into the model; it provides historical organization and classification reference data for the model; and it supplies historical transaction or measurement data that can be used as an input to the model, alongside simulated or projected data.
The model calculation results are generated within the Source period, but under the specific context of the model; therefore, the results do not affect production data.







