Working with models

How data is stored across models

Each model maintains its own independent dataset and configurations.

This includes:

• Expenses (Spend)

• Budget data

• Forecast data

• Rules and mappings

This separation ensures:

• No overlap between planning scenarios

• Clean comparison across models

• Controlled data transformations

Spend, Budget, and Forecast behavior

Each model type is designed for a specific purpose:

• Spend model

  • Represents actual financial data (Expenses)

  • Acts as the baseline for reporting and analysis

• Budget model

  • Stores planned financial data

  • Used for budget tracking and variance analysis

• Forecast model

  • Stores projected or revised estimates

  • Used for forward-looking analysis

Each dataset is:

• Stored independently

• Processed using model-specific rules

• Available for comparison in Analytics

Cloud spend behavior

Uploading cloud spend is independent of models. Cloud data can be ingested without selecting or being tied to any specific model during upload.

However, when cloud spend is published, it is always assigned to the Spend model.

Copying rules and mappings across models

You can copy the following between models:

• Cost Pool rules

• Tower rules

• Asset rules

• Solution Offering rules

• Consumer rules

Supported actions:

• Copy within the same model (across months/years)

• Copy across different models

• Use Copy To for bulk reuse

Using models in Analytics

You can analyze data across models in the Spend cube.

Compare multiple models in Spend cube

You can compare:

• Default models (Spend, Budget, Forecast)

• Custom models

Dynamic measures

When you create a custom model, Yarken automatically generates dynamic measures in Analytics—no manual setup required.

How it works

For example, if you create a model of type Spend named Custom model:

• A new metric Custom model appears under the Spend section in Analytics

• This metric represents the spend associated with that custom model

In addition, Yarken automatically creates variance measures to enable comparison with existing models:

• Spend vs Custom model

• Budget vs Custom model

• Forecast vs Custom model

These measures appear alongside existing metrics in the Metrics panel.

What are dynamic measures

Dynamic measures are system-generated metrics that:

• Represent data from custom models

• Appear automatically in Analytics without configuration

Models in Custom Dashboards

Custom Dashboards support model-based analysis. All widgets respect model filters and they are applied consistently across custom reports.

Related content

Create and manage custom models