Decision System
How Companies Turn Trusted Data Into Decisions That Change Outcomes
You are not short of data. You are short of numbers you can trust to decide with.
Decision System is a practical field guide for leaders who want to turn scattered, contested data into decisions that create measurable business outcomes. Instead of chasing more dashboards, it introduces a practical system for building trusted numbers that people confidently act on.

“ This book perfectly captures and solves many problems I've encountered with data across multiple organizations I've worked in. A clear system that helps cut through the noise and provides a sanity check for the decision-making process.
Essential reading for any modern executive.”
“ This book perfectly captures and solves many problems I've encountered with data across multiple organizations I've worked in. A clear system that helps cut through the noise and provides a sanity check for the decision-making process.
Essential reading for any modern executive.”
“ As a data-minded marketer, CRM leader, and GTM operator, this is one of the rare books that bridges commercial strategy and technical execution without getting lost in theory. Packed with relatable real-world examples, it gives you a front-row seat into the thinking of a commercially minded technical expert and a practical framework you simply won't find elsewhere.
More than just a good read, it's a blueprint for making better decisions, driving growth, and setting yourself up for success in any modern business.”
“ As a data-minded marketer, CRM leader, and GTM operator, this is one of the rare books that bridges commercial strategy and technical execution without getting lost in theory. Packed with relatable real-world examples, it gives you a front-row seat into the thinking of a commercially minded technical expert and a practical framework you simply won't find elsewhere.
More than just a good read, it's a blueprint for making better decisions, driving growth, and setting yourself up for success in any modern business.”
“ A light, fast, and engaging read that argues the real challenge in decision-making is not the lack of data, but the design of the decision system itself. Through a practical six-layer framework, it offers valuable insights for both decision-makers and those building decision systems.
A must-have non-technical read for every data professional and leader.”
“ A light, fast, and engaging read that argues the real challenge in decision-making is not the lack of data, but the design of the decision system itself. Through a practical six-layer framework, it offers valuable insights for both decision-makers and those building decision systems.
A must-have non-technical read for every data professional and leader.”
“ Decision System is a timely and insightful contribution that bridges the critical gap between data analytics and effective decision-making. While many resources focus on technical skills such as data preparation and modeling, this book addresses the often-overlooked challenge of transforming trustworthy data into decisions that drive meaningful organizational outcomes. Through practical frameworks, engaging case studies, and clear explanations of concepts such as trust, ownership, data lineage, and value, it equips both students and practitioners with essential decision intelligence skills.
This is an invaluable resource for teachers, students, industry professionals, and educators seeking to connect analytical capability with real-world business impact.”
“ Decision System is a timely and insightful contribution that bridges the critical gap between data analytics and effective decision-making. While many resources focus on technical skills such as data preparation and modeling, this book addresses the often-overlooked challenge of transforming trustworthy data into decisions that drive meaningful organizational outcomes. Through practical frameworks, engaging case studies, and clear explanations of concepts such as trust, ownership, data lineage, and value, it equips both students and practitioners with essential decision intelligence skills.
This is an invaluable resource for teachers, students, industry professionals, and educators seeking to connect analytical capability with real-world business impact.”
“ You built the platform. Decision System shows you how to earn the business's trust in what comes out of it through explicit definitions, enforceable data contracts, and ownership designed for trust rather than left to hope.
An indispensable read for technology leaders who want their platforms to drive confident business decisions.”
“ You built the platform. Decision System shows you how to earn the business's trust in what comes out of it through explicit definitions, enforceable data contracts, and ownership designed for trust rather than left to hope.
An indispensable read for technology leaders who want their platforms to drive confident business decisions.”
“ Despite major investments in modern software systems, artificial intelligence, including AI agents, and trusted data, I often hear the same challenge: organizations still struggle to consistently turn data into better business decisions.
Decision System provides a practical framework for addressing this challenge. It shows how organizations can build trust in data, establish shared ownership of critical business metrics, and make trusted information accessible to both people and AI, enabling better decisions and measurable business outcomes.
The book also fills an important gap for today's graduates. They know how to build modern software and AI solutions, but many have yet to learn how those solutions translate into improved decisions, stronger financial performance, and sustainable business growth. Decision System bridges that gap by connecting technical innovation with business value.
A valuable resource for business leaders, finance leaders, and the next generation of technology professionals.”
“ Despite major investments in modern software systems, artificial intelligence, including AI agents, and trusted data, I often hear the same challenge: organizations still struggle to consistently turn data into better business decisions.
Decision System provides a practical framework for addressing this challenge. It shows how organizations can build trust in data, establish shared ownership of critical business metrics, and make trusted information accessible to both people and AI, enabling better decisions and measurable business outcomes.
The book also fills an important gap for today's graduates. They know how to build modern software and AI solutions, but many have yet to...”
“ Learn the part of data work that most courses never teach: how a trustworthy number becomes a decision that changes outcomes. Decision System reads like a field guide rather than a textbook, bridging academic analytics with the real-world decisions employers expect graduates to influence.
An ideal companion for anyone preparing to turn data skills into business impact.”
“ Learn the part of data work that most courses never teach: how a trustworthy number becomes a decision that changes outcomes. Decision System reads like a field guide rather than a textbook, bridging academic analytics with the real-world decisions employers expect graduates to influence.
An ideal companion for anyone preparing to turn data skills into business impact.”
What you'll learn
Six building blocks for turning trusted data into decisions that change outcomes.
Trust
Build numbers people confidently use.
Coherence
Create one shared language across the business.
Access
Make trusted information available where decisions happen.
Ownership
Know exactly who owns every important metric.
Value
Measure success by business outcomes instead of reporting activity.
Operating the System
Turn trusted data into repeatable decision-making.
Does this sound familiar?
Your meetings start by arguing over which number is correct.
Different teams define the same metric differently.
Dashboards exist but confidence doesn't.
Years of investment still haven't improved decision making.
Everyone wants to be data-driven, yet gut feel still wins.
Decision System explains why and provides a practical framework to fix it.
A Field Guide for Data-Driven Leaders
You are not short of data.
You are short of numbers you can trust to decide with.
The dashboards are full, the reports arrive on time, and still the decisions that matter come down to whoever argues hardest in the room. The problem was never a shortage of data. It is that almost none of it has earned the right to drive a decision.
Decision System is a practical guide to closing that gap. Across six building blocks—Trust, Coherence, Access, Ownership, Value, and Operating the System—it follows two very different companies as they turn scattered, contested data into decisions that change outcomes. The result is not more numbers. It is a higher bar, and a system that holds as you grow.
Inside the book you'll learn
- Tell a number that can steer the company from one that only describes it
- Settle the metric fights that quietly stall your meetings
- Make trusted data findable, for your people and for AI
- Federate ownership without losing a shared language
- Test any data idea against the only thing that matters: the decision it changes

Meet Hafiz Rahman
Hafiz Rahman is a Melbourne-based engineering, data, and AI leader with more than 28 years of experience building trusted systems behind high-growth subscription businesses and consumer brands.
Having led engineering and data initiatives across fintech platforms and multi-site entertainment businesses, his work focuses on one recurring challenge: helping organisations turn contested data into decisions that directly improve business outcomes.
Decision System is the first title from Devizur Press and reflects the practical frameworks developed throughout his career working alongside executive leadership teams.
About Devizur Press
Devizur Press publishes practical books for executives, technology leaders, and data professionals.
Our mission is simple:
To bridge the gap between technical expertise and better business decisions.
Every title is designed to be practical, visually polished, and immediately applicable inside modern organisations.
Upcoming titles will explore topics across data engineering, artificial intelligence, analytics, software architecture, leadership, and digital transformation.

