The FP&A loop
Budget annually with quarterly reforecasts, track actuals weekly, run variance monthly, and update the forecast at month-end. The compounding asset is a per-project run-rate model that absorbs new customer onboarding, churn, and architecture changes without a full rebuild.
Forecast models that work for cloud
Linear extrapolation works for stable workloads. Run-rate × growth rate works for SaaS where cloud scales with customers. Bottom-up (per-customer × planned customers) works once the unit economics are known. Most SaaS FP&A teams blend two of the three depending on the project.
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Frequently asked
How often should the cloud forecast be updated?
Monthly is the standard cadence; weekly during a budget-sensitive period (pre-funding, pre-board, post-launch).
Why is FP&A harder for cloud than for staff costs?
Cloud spend is usage-driven, daily, and varies with customer behavior. Staff costs change on a quarterly hiring cycle. Cloud forecasts decay faster, so the cadence has to be tighter.