Forecast Accuracy Certified

Finance · Priya Raman — FP&A·Source: TM1 / IBM Planning Analytics·Refresh: Monthly

Definition

Inverse mean absolute percentage error between revenue forecast (T-1 month) and actuals.

Formula

100 − Mean(|Forecast − Actual| / Actual × 100)

Source System

TM1 / IBM Planning Analytics

Data Owner

Priya Raman — FP&A

Refresh frequency

Monthly · last refresh 2026-05-15 20:21 UTC

Used in dashboards

FP&A DashboardBoard Pack — Revenue

Related KPIs

revenue-growth

Known limitations

Computed only on top-30 deals by ARR. Long-tail SMB segment is forecast in aggregate.

Trend · last 10 periods

91.7%

Current period

Why did this move?

New ML-assisted late-stage scoring reduced over-forecasting on commit deals; April actuals landed within 2.1% of submitted forecast.

AI Explanation

Forecast Accuracy is Inverse mean absolute percentage error between revenue forecast (T-1 month) and actuals.

88%

Confidence Score

Solid

Composite of data quality, freshness, completeness and definition stability.

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