In Polish companies — from startups to large agricultural enterprises — three fundamentally different management tools are often conflated: the budget, the financial model, and the activity-based financial-operational model. This is not a matter of semantics: it is the difference between a tool that says “how much we spent” and one that answers “why we spent that much — and what happens if I change one operational decision tomorrow.”
This article explains the differences using a concrete example: FarmWise — an MFO for a dairy farm created by Origami Effect in 2024. It is the company’s 190th financial-modelling implementation: over 3 million cells and ~300 sheets simulating every aspect of a dairy cow’s life and production.
A budget is a financial plan that sets how much will be allocated to specific spending categories over a period — usually a year. It is a control instrument: it allows comparing actual costs against plan and detecting variances.
Example questions a budget answers:
Budgets are typically static — built once at the start of the year using historical data and judgment. They do not simulate cause-and-effect relationships: the “feed” category remains a single aggregated number, with no breakdown explaining its components.
Budgets draw data from accounting inventories (herd size at period start/end), which suffices for simple valuation and control but not for production simulation (e.g., how changing a feed recipe affects cost per liter of milk).
A financial model is a system of linked formulas that represent the company’s financial structure over time. Unlike a budget, it is dynamic: changing one assumption propagates through the P&L, balance sheet and cash flow.
Typical questions a financial model answers:
Formulas in a financial model link financial variables and propagate changes. Example: monthly milk revenue = milk production × average farmgate price. A price change of a few cents automatically recalculates revenues, margins and cash flow for the whole year.
However, financial models usually aggregate data at the financial-category level and do not directly describe operational processes.
An MFO (Financial-Operational Model) starts from activities and operational processes — not aggregated financial categories. Every cost and revenue is the result of formulas that describe what physically happens in the business (e.g., how many cows are in a given lactation phase, how many kg of a specific feed ingredient are consumed, etc.).
In an MFO the formulas describe reality, and the financial outcome is its consequence — the inverse logic of a budget.
FarmWise is a practical MFO implementation: over 3 million cells and ~300 sheets. Below are key mechanisms illustrating the difference between MFO, a budget and a classic financial model.
FarmWise does not treat the herd as a single number. Each animal group has assigned age and cycle stage (calf, heifer, milking cow, dry) and lactation stage (1st–7th cycle). The model tracks calving dates, inseminations and probabilistic losses, so it knows the future herd composition.
The Dairy Cycle module defines average daily milk yield for each lactation cycle; Milk Production multiplies these yields by the number of cows in each group (taken from Inventory) and calculates monthly/quarterly production.
The model computes disease risk per condition and age group (mastitis, ketosis, lameness, BVD, leptospirosis). Multiplying probability by group size produces a forecasted case count — enabling early detection of deviations and preventive responses.
The model compares strategies: reactive treatment vs preventive program (e.g., therapy cost × case count vs vaccination cost × number of animals), enabling data-driven choices.
Users can define up to 10 feed recipes (each with an effective period); each recipe contains kg per cow per day for individual ingredients (silage maize, alfalfa, molasses, etc.).
The model multiplies daily intake by herd size and days in the quarter — where herd size is the result of biological simulation, not a manual input. Thus feed demand and costs always stem from the herd state and forecast.
The model distinguishes between self-produced and purchased feeds, accounts for storage losses, and calculates the cost of producing on-farm feed from scratch (fuel, fertiliser, machinery depreciation, land financing, etc.).
A recipe change (e.g., 2 kg alfalfa → 3 kg silage per cow in a 300-cow herd) immediately affects silage demand, the need to purchase raw material, cost per liter of milk, EBIT and cash flow — all automatically and without manual recalculation.
| Dimension | Budget | Financial model | Activity-based model (MFO) |
|---|---|---|---|
| Main purpose | Expense control | Projection & valuation | Operational simulation → financial outcomes |
| Starting point | Cost categories | Financial assumptions | Physical activities (cow, lactation, recipe) |
| Formulas | Simple sums | Complex financial links (DCF, WACC) | Multi-layered: biological and financial together |
| Granularity | Category / department | P&L lines, balance, CF | Each cow, each feed ingredient, each field |
| Scenarios | None | Optimistic/base/pessimistic | Unlimited: recipe, disease, machine |
| Variance detection | Ex post | At assumption level | Proactively — before the result shifts |
| Cost per liter of milk | Aggregated, historical | Forecasted by category | Calculated from each ingredient |
| Feed-recipe change | No effect | Changes cost category | Cascade: recipe → cost → EBIT |
All three tools rely on formulas: data are inputs, and formulas define how to turn those inputs into decision-ready knowledge. The difference is what the formulas describe:
In FarmWise the cost per liter of milk is the outcome of hundreds of formulas — from the field, through the barn, to the income statement.
Each tool has its purpose:
The budget asks about limits. The financial model asks about projections. The MFO computes possibilities.
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