Advanced Forecasting Models for FP&A: Time Series, Seasonality, and Scenario Systems in Excel & Python: Practical Techniques - Couverture souple

Wexler, Graham

Couverture souple

ISBN 13 : 9798275792942

Editeur : Independently published, 2025

Synopsis

Reactive Publishing

This book gives FP&A analysts, finance leaders, and data-driven operators a complete system for building modern forecasting engines using Excel, Python, and hybrid modeling workflows. Grounded in real business dynamics, it covers trend decomposition, seasonality mapping, rolling forecasts, sensitivity grids, Monte Carlo stress paths, and scenario architectures designed for executive decision making. You’ll build models that adapt, update, and scale, reducing noise, increasing accuracy, and giving finance teams the ability to anticipate inflection points before they occur. Whether you support a fast-growing SaaS company, a global enterprise, or a traditional operating business, this guide gives you the templates, theory, and practical structure to deliver forecasts that leaders actually use.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798275792942
• Reliure: Broché
• Nombre de pages: 397
• Éditeur: Munrow Danny
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg