Looking ahead with data
Historical patterns are used to make an evidence-based estimate of what may happen next.
Forecasting
Plan ahead with forecasts for demand, revenue or capacity.
Many plans rely on historical averages and experience. Changing patterns make it difficult to estimate future needs accurately. Forecasting uses historical data to predict future trends or demand.
From an isolated possibility to a practical application
An application only becomes meaningful when it fits a specific task and the information available to carry it out.
A prediction supports a decision, but it remains an estimate with some uncertainty. That is why we define in advance what the solution should and should not do, how the result will be checked and who remains responsible.
What it delivers
Supporting planning
The results help staff weigh up future capacity, stock or maintenance needs.
Making uncertainty visible
Predictions are tested and remain an aid to decision-making.
Our approach
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Define the decision and forecast horizon
We define what we need to predict and how far ahead.
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Examine the data
We assess the quality and predictive value of historical data.
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Develop the model
We start with a simple method and compare performance.
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Validate the results
We test predictions against historical periods and review them with experts.
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Integrate and monitor
We integrate the results into the process and monitor model performance.
Aligned with your organisation
This service is relevant to organisations that make recurring planning decisions. The exact setup depends on the process, the available data and the risks involved in its use.
We therefore start with a clearly defined application and only expand it once the initial setup works in practice.
Other solutions
One data platform for fragmented sourcesBring data from separate systems together in one place, where everyone sees the same figures.
Dashboard for day-to-day operationsSee how things stand on one screen, without having to build reports first.
Predicting when maintenance is neededPlan maintenance based on what the data says, not on a fixed schedule.
Frequently asked questions
This service focuses on the following challenge: forecasting uses historical data to predict future developments or demand. How it works in practice depends on the process and the data available.
The service may be relevant to organisations that make recurring planning decisions. A clear need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question the solution needs to address, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that adequately addresses the challenge and add complexity only when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. After launch, we monitor how it works and adapt the solution when the data, its use or the context changes.
Discover what forecasting could do for your organisation
Would you like to explore where it makes sense to start with forecasting? Together, we’ll map out the challenge, the available information and the constraints.