Forecast Value Added Turns Planner Overrides into a Measurable Governance Process

Measure whether intervention improves the baseline

Nicolas Vandeput argues that Forecast Value Added is one of the most practical ways to test whether consensus steps and human overrides improve or degrade a statistical forecast.

Practical implication

Organizations need lag-aware data, automated comparison pipelines and clear ownership of each forecast contribution. Platforms such as SKU Science can support this comparison, but the governance process remains a management responsibility.