Imported Variable Behaviour

This article explains how imported variables behave in Model Reef, regardless of source.

You will learn:

  • How imports create Data Library entries and variables.

  • How historical actuals and forecast logic are combined.

  • How imported variables behave across statements.

  • What happens when you refresh data from external systems.

Imported variables come from sources such as PDF, Excel, CSV, Xero, QuickBooks, stock tickers and public APIs.

1

How imports create variables

When you import data, Model Reef:

  • Detects and classifies each line into a type such as Revenue, COGS, Opex, Staff, Asset, Liability, Equity or Tax.

  • Creates a Data Library time series for each mapped line.

  • Automatically creates a variable that references that Data Library entry.

  • Assigns a category, subcategory, branch, units and optional GL code.

  • Applies default timing and forecast rules based on the type and pattern.

You can adjust any of these after the import.

2

Historical actuals vs forecast periods

Imported series typically supply historical actuals for periods before or around the model start date.

Model Reef then:

  • Treats imported values for historical periods as fixed and not overwritten by forecast logic.

  • Applies forecast rules from the model start date forward.

  • Ensures that charts and statements show a continuous series that blends history and forecast.

You can see the history-to-forecast transition point clearly in charts and in the time series view.

3

Default forecast behaviour for imported variables

For many imported variables, Model Reef assigns a default forecast rule, for example:

  • Extending the last observed level or average.

  • Applying a simple growth rate.

  • Using ML or regression based presets where appropriate.

These are starting points to give you a working model immediately. You are expected to review and refine them.

You can change forecast behaviour by:

  • Editing the variable formula.

  • Replacing default rules with driver based logic.

  • Overriding specific periods manually where necessary.

4

Imported variables in statements

Once created, imported variables behave exactly like manually created variables of the same type:

  • Revenue, COGS, Opex, Staff, Tax, Assets, Liabilities, Equity and Dividends all follow their normal rules.

  • They contribute to P&L, Balance Sheet, Cashflow and Cash Waterfall based on their type and timing settings.

  • You can move them between branches or change categories if the initial mapping needs refinement.

The fact that a variable was imported does not change its accounting behaviour — only how its series was initially populated.

5

Refreshing imported data

When you refresh data from systems such as Xero, QuickBooks or stock tickers:

  • Historical actuals are updated in the Data Library.

  • Linked variables update their historical series accordingly.

  • Forecast rules continue to apply for forward periods.

  • Statements and dashboards recalculate automatically.

You should review any variables affected by refresh to ensure that forecast logic still makes sense in light of updated history.

6

Editing or reclassifying imported variables

You can safely:

  • Change variable types if an imported line was misclassified.

  • Change categories and subcategories for reporting.

  • Reassign branches to match your model structure.

  • Replace default forecast logic with your own drivers and formulas.

Reclassification will immediately change how the variable behaves in statements, so treat type changes as meaningfully as you would in a manual model

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