When using a rolling forecast, what should you do as new data arrives?

When using a rolling forecast, what should you do as new data arrives?

• A. Update projections with new data and adjust growth rates accordingly.
• B. Revert to the original plan and ignore new data
• C. Discard seasonality assumptions
• D. Double budget without reason

Answer: (A)

Rolling forecasts are designed to stay current by updating projections as new data arrives. When new data comes in, you should refresh the forecast by incorporating the actual results and revising growth rates and other drivers to reflect the latest information. This keeps plans realistic, captures changing trends, and supports timely decisions. Ignoring new data and sticking to the original plan wastes the opportunity to stay aligned with reality; discarding seasonality assumptions reduces model accuracy; and doubling the budget without justification is arbitrary and undermines credibility. So the right approach is to update projections with new data and adjust growth rates accordingly.

Rolling forecasts are designed to stay current by updating projections as new data arrives. When new data comes in, you should refresh the forecast by incorporating the actual results and revising growth rates and other drivers to reflect the latest information. This keeps plans realistic, captures changing trends, and supports timely decisions. Ignoring new data and sticking to the original plan wastes the opportunity to stay aligned with reality; discarding seasonality assumptions reduces model accuracy; and doubling the budget without justification is arbitrary and undermines credibility. So the right approach is to update projections with new data and adjust growth rates accordingly.