Driver-Based Forecasting & Rolling Scenario Models: How to Design High-Fidelity Forecasts, Rolling H

Reactive Publishing

Design forecasts that actually behave like your business.

This book is a practical blueprint for finance and analytics professionals who want to move beyond static annual budgets and crude top-down projections. Instead of chasing variance after the fact, you will build a driver-based forecasting system that links every key metric in your P&L, balance sheet, and cash flow to real, observable business drivers.

You will learn how to translate sales funnels, pricing rules, headcount plans, production metrics, and operating KPIs into a coherent set of forecast equations that update automatically as assumptions change. From there, you will architect rolling forecast models that extend the planning horizon every month or quarter, so leadership is always looking 12-24 months ahead instead of staring at a decaying annual budget.

The book walks through:

• How to identify and prioritize true economic drivers versus "noise"

• Techniques for transforming operational data (volumes, conversion rates, capacity, FTEs) into robust financial logic

• Building rolling forecast structures (12+0, 18+0, 24+0) that refresh continuously

• Designing scenario engines that let you flex key variables in seconds: price, volume, mix, productivity, churn, FX, and more

• Constructing driver hierarchies so local models (product, region, channel) roll up cleanly to enterprise views

• Calibrating and backtesting your models against history to improve fidelity and credibility

• Embedding forecast governance, version control, and model stewardship in FP&A and business teams

Throughout, Vincent Bisette focuses on implementation detail: model architecture, assumption design, data integration, and reporting structures that executives will actually use. You will see how to connect your driver-based model to management rhythms: S&OP cycles, quarterly business reviews, capital planning, workforce planning, and risk scenarios.

By the end of this book, you will be able to:

• Build a driver-based forecasting model that mirrors how value is created in your business

• Run high-impact scenarios in real time to answer "what if?" questions from executives

• Replace static budgets with rolling horizons that adapt to changing market conditions

• Align finance, operations, and commercial teams around a shared set of drivers and assumptions

• Deliver forecasts that are faster to produce, easier to explain, and more accurate over time

Driver-Based Forecasting & Rolling Scenario Models is written for FP&A teams, strategic finance leaders, business controllers, and data-savvy managers who want their forecasting process to become a true decision engine, not just a reporting exercise.