Traditional models of forecasting rely on historical data and beliefs. It uses techniques that identify patterns, which are simple to use. However, with these methods, there are some challenges because they are not dynamic with today’s market, and can’t effectively analyse complex data. That’s where driver-based forecasting comes into play. In today’s dynamic business world, an intelligent budget solution is the key.
In this blog, we’ll explain how forecasts are automatically updated when drivers undergo modifications, the benefits and how forecasting methods enable proactive team performance.
Driver-based forecasting is an innovative method that connects financial metrics in financial planning, such as costs, revenue, profit and more, which improves a company's financial performance. This approach enables more accurate and dynamic predictions, allowing businesses to make informed decisions and adapt effectively to changing market conditions.
For SaaS companies, this method can be divided into two main categories:
Quantitative Drivers: These are measurable variables that have a direct, numerical impact on forecasted outcomes, such as sales volume, operational costs or advertising spend. They use historical data from these variables to create predictive models, enabling more accurate and responsive projections.
Qualitative Drivers: These are more difficult to measure, such as market sentiment, leadership decisions or competitive activity. It requires experts and scenario analysis to effectively incorporate their effects into forecasting models.
With these two drivers, organisations can more accurately predict changes in revenue, expenses and create a successful budgeting process. Also, finance teams can make predictions that improve accuracy and responsiveness as they change.
This method isn’t just a basic, more accurate forecasting technique. It changes the mindset of the team in planning. The key benefits are:
More Accurate Forecasts: Real-time data helps keep forecasts up to date and closer to actual performance. This reduces assumptions and brings more data-driven results.
Proactive Planning: Driver-based planning lets teams see changes early and act before problems grow. It supports planning instead of rushing to a solution.
Improved Agility: Businesses can quickly adjust plans when inputs or conditions change. This helps them stay flexible.
Better Collaboration: Teams across departments can work with shared drivers and assumptions. This creates a common view and improves teamwork.
Resource Optimisation: By linking resources to key drivers, companies can avoid waste and focus where it matters most. This leads to smarter use of time, money, and people.
This type of forecasting offers clear benefits by improving accuracy, flexibility, and collaboration. It helps organisations make faster, smarter decisions with better use of data and resources.
Let’s take a closer look at both methods.
Traditional forecasting looks at past data and assumes future results will follow the same patterns. It is easy to use but may not react well to dynamic changes on the market, customer behaviour, or business operations.
On the other hand, driver-based forecasting focuses on identifying and modelling the key operational and financial drivers that influence performance, such as unit sales. By using key business drivers, companies can create more flexible and useful forecasts. This helps them make better decisions and provides clearer insights into what actions will change the results.
Financial forecasting plays a key role in driver-based budgeting by linking key business activities to future financial outcomes, enabling more accurate and responsive budget planning. If you wonder how to build a strong driver-based forecast, here are the five best approaches:
The business drivers are the critical factors that impact a company’s performance and outcomes. There are many activities that drive operational and financial results. So, it’s important to understand and focus on these drivers to make strategic decisions, maximise profit and achieve sustainable growth.
Gathering historical data involves collecting information about past events through a system. The main source of this data is from original documents, interpretations, etc. Effective historical information must be carefully collected for accurate analysis and results.
When building forecasts, it’s most effective to focus on practical, measurable drivers, especially for revenues and operating expenses. These areas often have clear cause-and-effect relationships, like how an increase in sales inquiries leads to higher revenue. Therefore, it’s better to rely on what can be clearly measured and tied to business results.
Regularly reviewing and updating your forecast keeps it aligned with current business conditions. As driver values change over time, refreshing the model ensures continued accuracy and relevance. This ongoing process helps teams stay proactive and quickly adjust plans when needed.
As a last tip, it’s essential to distinguish between models and industries and focus on key elements, rather than complex and unnecessary drivers. Keep the forecasting model simple by focusing only on the most important drivers. Too much detail can make the model hard to manage and less useful. A clear approach is easier to update and act on.
Beyond the many benefits, there are some challenges that you may face while planning.
Maybe one of the most important things in the driver-based planning is to identify the right drivers that will impact the company’s outcomes. If you focus on the wrong drivers, it can result in misleading forecasts that will lead to poor data analysis and errors. Therefore, proper drivers and data analysis are essential for tracking the right metrics.
A key component of a successful driver-based approach for forecasting is the availability and quality of data. Forecast accuracy may be affected by problems like missing datasets or out-of-date information. Businesses need to invest in data integration tools that can collect information from various sources and ensure it is accurate and useful, as well as build a smarter budget.
Business environments are constantly evolving, which can reduce the reliability of previously effective drivers. A driver that once strongly influenced outcomes may no longer apply under new conditions. Regularly reviewing and adjusting drivers is essential to keep the model relevant.
Different teams may use their own predictions for key drivers, leading to irregularity in the forecast. Without alignment, it’s hard to create a unified view of future performance. Good communication and shared responsibility for drivers help teams work together and keep forecasts accurate.
To budget effectively using driver-based forecasting, focus on identifying the key factors that truly impact your business results. Regularly update your forecasts with accurate data and keep the process simple to stay flexible. Clear communication and collaboration across teams will help ensure your budget reflects real business drivers and supports better decision-making
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