fp-and-alisted

# FP&A (Financial Planning & Analysis) > Standards: **AICPA FP&A Maturity Model**, **Beyond Budgeting Roundtable principles (Hope + Fraser)**, **OpenSaaS / SaaSGrid / OpenView SaaS Benchmarks**, **Klipfolio + Geckoboard + Looker FP&A metric definitions**, **Statistical foundations (NIST/SEMATECH e-Handbook of Statistical Methods)**, **Monte Carlo / scenario analysis (Hubbard "How to Measure Anything")**, **AFP (Association for Financial Professionals) FP&A certification body of knowledge**. ## Purpose Financial Planning & Analysis (FP&A) turns the static historical accounting record into forward-looking business intelligence: budgets, forecasts, variance analysis, scenarios, what-if modelling, and the SaaS / commerce / fintech metrics boards and investors actually care about. Finance owns the analysis; engineering owns the pipelines, the data models, and the self-serve tooling that lets the FP&A team work at speed. This skill teaches the engineering patterns for FP&A: budget vs actuals tables, rolling 13-week cash forecasts, driver-based models (revenue × take rate, headcount × loaded cost), scenario branches, the canonical SaaS metric definitions (ARR / MRR with all the edge cases — upgrades, downgrades, churn, contraction, expansion), cohort retention curves, CAC / payback / LTV, and the warehouse + BI patterns that turn the general ledger plus operational data into Tableau / Looker / Hex / Sigma dashboards finance can actually use. Without good FP&A engineering, finan