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Book synopsis

Reactive Publishing

The CFO Data Engine is a blueprint for building modern finance organizations that operate on real systems, not static spreadsheets and backward-looking reports.

Today's CFO is no longer a historian of numbers. They are expected to run a live decision engine, integrating forecasting, scenario analysis, capital allocation, and operational intelligence in real time. This book shows how to design that engine from the ground up.

Blending FP&A rigor with modern data engineering, The CFO Data Engine walks through how to architect finance systems using Excel as a control layer, Python for modeling and automation, APIs for live data ingestion, and AI for forecasting, anomaly detection, and decision support. The focus is not on tools in isolation, but on how they connect into a coherent, scalable decision system.

Inside, you'll learn how to:

• Design FP&A systems that move beyond budgets and static forecasts

• Build rolling, driver-based forecasting models powered by Python and Excel

• Ingest operational, market, and financial data via APIs instead of manual updates

• Separate data pipelines, models, and decision layers for scale and resilience

• Apply AI responsibly to forecasting, variance analysis, and executive insight

• Create CFO dashboards that explain why outcomes change, not just what changed

• Transition finance from reporting cadence to continuous decision support

This is not a beginner's guide, and it is not theoretical. It is written for CFOs, finance directors, FP&A leaders, and senior analysts who already understand finance, and now need systems that can keep up with complexity, volatility, and scale.

If spreadsheets are breaking under the weight of your organization, if forecasts feel obsolete the moment they're approved, and if decision-making lags reality, The CFO Data Engine provides the architecture, mindset, and practical frameworks to rebuild finance as a true strategic operating system.

Book details

• Full title: The CFO Data Engine
• Subtitle: Designing FP&A, Forecasting, and Decision Systems with Python, APIs, and AI: A Comprehensive Guide
• Author: Hayden Van Der Post, Danny Munrow
• Language: English
• Binding: Paperback
• Number of pages: 554
• EAN: 9798246441787
• ID: 50998993
• Publisher: Independently published
• Weight: 733 g
• Dimensions: 229 × 152 × 29 mm
• Date of publishing: 01. February 2026

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