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Forecasting is widely recognised as an important business tool. It provides a view of future performance, supports planning and helps identify potential risks. However, in many Irish SMEs, forecasting either does not happen or fails to deliver meaningful value.

The issue is not with forecasting itself, but with how it is approached.

One of the main reasons forecasting fails is overcomplication. Businesses often attempt to build detailed models with multiple assumptions and variables. While this may appear thorough, it can make forecasts difficult to maintain and understand. As a result, they are not updated regularly and quickly become outdated.

Another common issue is unrealistic assumptions. Forecasts are sometimes based on optimistic expectations rather than evidence. Revenue projections may be overstated, while costs are underestimated. This creates a disconnect between forecast and actual performance.

There is also a tendency to treat forecasting as a one-off exercise. A forecast is prepared, reviewed and then set aside. In reality, forecasting should be an ongoing process that is updated regularly to reflect changes in the business environment.

Lack of ownership can also undermine forecasting. If no one is responsible for maintaining and reviewing the forecast, it is unlikely to be used effectively. Forecasting requires accountability to ensure it remains relevant.

Data quality is another factor. Forecasts are only as reliable as the information they are based on. Inaccurate or incomplete data leads to unreliable projections, which reduces confidence in the process.

The consequence of these issues is that forecasting is often ignored. Decisions are made based on instinct or short-term considerations rather than structured planning.

Making forecasting useful requires a different approach.

The first step is simplicity. A forecast does not need to be complex to be effective. A clear, high-level view of expected revenue, costs and cash flow is often sufficient. The focus should be on usability rather than detail.

Assumptions should be grounded in reality. Historical performance provides a useful starting point. Adjustments can then be made based on known changes such as new contracts, cost increases or market conditions.

Regular updates are essential. A forecast should be reviewed and revised on a monthly basis. This ensures that it reflects current conditions and remains relevant for decision making.

Scenario planning can also add value. Considering different outcomes, such as best case, expected and worst case scenarios, helps businesses prepare for uncertainty. This supports more informed decision making.

Ownership is critical. Someone within the business should be responsible for maintaining the forecast and ensuring it is used as part of the decision-making process.

Integration with decision making is where forecasting delivers real value. It should not exist in isolation. It should inform pricing decisions, investment planning and cost management.

The key insight is that forecasting is not about predicting the future with certainty. It is about preparing for it.

SMEs that use forecasting effectively are better positioned to identify risks early, respond to changes and make informed decisions. Those that do not are more likely to react to events rather than plan for them.

Disclaimer: This article is based on publicly available information and is intended for general guidance only. While every effort has been made to ensure accuracy at the time of publication, details may change and errors may occur. This content does not constitute financial, legal or professional advice. Readers should seek appropriate professional guidance before making decisions. Neither the publisher nor the authors accept liability for any loss arising from reliance on this material.