Definition
An analytics concept defining statistical methods used to estimate relationships, evaluate interventions, and generate forecasts. It specifies data requirements, estimation procedures, and uncertainty measures used to support decision-making. It does not prove causation without an appropriate identification strategy, data quality checks, and sensitivity analysis. It supports performance management by translating data into estimates, predictions, and quantified uncertainty. The concept is generally stable, though tooling and best practices for measurement evolve over time.
Principle
Principle
Combine quantitative diagnostics with qualitative insight from domain experts to detect root causes, decide adjustments, and capture changes in demand drivers or constraints.
Demonstration
Demonstration
A monthly S&OP review includes demand planners, sales, operations and finance; they review forecast accuracy trends, accept or reject proposed overrides, and assign owners for corrective experiments.
Misapplication
Misapplication
Using reviews solely as a forum to rubber-stamp local overrides without evidence degrades forecast quality and obscures systemic model issues.
Consequence
Consequence
Effective reviews improve forecast accuracy over time, ensure accountability for changes, and surface structural shifts requiring model updates or policy changes.
Reversal
Reversal
Skipping reviews severs the feedback loop between operations and analytics, allowing persistent errors to accumulate and reducing organizational learning.
Boundary
Boundary
Refers to the governance meeting/process layer and the decisions taken there; it does not replace technical validation nor the continuous model retraining pipelines.
Semantic Tension
Semantic Tension
May be mistaken for ad hoc meetings about forecasts — a Forecasting Review is structured, evidence-based, and includes defined decision rules and record-keeping.
Synthesis
Synthesis
A Forecasting Review is the institutional feedback loop where stakeholders jointly assess forecasts, diagnose causes of error, decide remedial actions, and record lessons for continuous improvement.