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Book synopsis

Reactive Publishing

The Finance Tech Stack is a practical blueprint for how modern finance teams are actually built, not how textbooks pretend they are.

Today's CFO is no longer just a steward of numbers. They are a systems architect. A data operator. A strategist responsible for designing an end-to-end financial machine that connects raw data to executive decision-making in real time.

This book shows you how.

Written for CFOs, Heads of Finance, FP&A leaders, and technically fluent analysts, The Finance Tech Stack breaks down how best-in-class finance organizations design, build, and operate integrated financial systems using Excel, Python, APIs, cloud tools, and AI-without losing control, auditability, or speed.

You'll learn how to move beyond fragile spreadsheets and disconnected tools toward a modular, scalable finance stack that actually reflects how modern businesses operate.

Inside, you'll explore:

• How CFOs think in systems, not reports
• The modern finance stack, from raw data ingestion to board-level outputs
• Where Excel still dominates, and where it quietly breaks
• How Python augments finance teams without turning them into software shops
• Using APIs to eliminate manual workflows and data silos
• Designing forecasting, budgeting, and reporting pipelines that scale
• Applying AI safely to finance without hallucinations or compliance risk
• Building finance infrastructure that survives growth, audits, and restructuring

This is not a "tools tour." It's a design philosophy for finance leaders who understand that financial performance now depends on technical architecture.

If you are responsible for forecasting accuracy, capital allocation, executive insight, or the credibility of your numbers, this book gives you the mental models and implementation logic to modernize finance without chaos.

The future of finance is not one tool.
It's a stack.

Book details

• Full title: The Finance Tech Stack
• Subtitle: A Comprehensive Guide: How Modern CFOs Design, Build, and Operate End-to-End Financial Systems with Excel, Python, APIs, and AI
• Author: Hayden Van Der Post, Alice Schwartz
• Language: English
• Binding: Paperback
• Number of pages: 550
• EAN: 9798242118980
• ID: 50491459
• Publisher: Independently published
• Weight: 728 g
• Dimensions: 229 × 152 × 28 mm
• Date of publishing: 01. January 2026

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