From data as a byproduct to data as a product. Using a clear, business-first approach, you’ll learn:

• What a data product really is (and what it isn’t)
• The full data product spectrum from clean, documented datasets to analytics, algorithmic, and AI-powered products
• How to match ambition to organizational maturity instead of over-engineering too early

Organize for adoption, not just delivery. You’ll discover how to:

• Set up ownership models that actually work (business, technical, and product)
• Design team structures with or without data mesh
• Escape the backlog trap and reduce “shadow Excel”
• Increase adoption and delivery speed without turning governance into a bottleneck

Governance that enables, not constrains. A core focus of this book is making governance invisible yet effective. You’ll learn:

• How to apply federated governance with a “shift-left” mindset
• Practical frameworks for data quality, standards, templates, and automated controls
• How to use policy-as-code and data classification to build trust by design
• Why governance becomes non-negotiable as AI raises the stakes around risk and accountability

Speak the language leaders care about. Finally, you’ll learn how to connect data product work to:

• Business value and ROI
• Cost reduction and revenue growth
• Risk management and regulatory readiness

You’ll also walk away with a concrete 90-day action plan to build traction fast.

From projects to products, from tech-first to value-first. This book by Amy Raygada shows that data products succeed only when they are owned end-to-end, governed by design, and built around real human needs. Practical, honest, and refreshingly grounded in impact, this is a playbook for teams who want data products people actually use.

Winfried Adalbert Etzel
Data Governance Thinker, Writer, Host, Strategist, and Enthusiast

“Data Products Volume 1” is exactly the book the data community has been waiting for and Amy Raygada is exactly the person to write it. I am honored to call Amy a friend and a colleague, and I’ve seen firsthand how she lives what she writes about. This book doesn’t just give you an overview of data products and their concepts – it gives you truly practical guidance on how to actually get started, including a 90 day roadmap that turns ideas into action. As the first part of a trilogy, it sets a great foundation for what’s to come. This is a must-read for the thinkers AND the doers in the data community who want to stop talking about data products and start generating value with them. I’m so happy that others can now learn from Amy too!

Tiankai Feng
Author of “Humanizing Data Strategy” & “Humanizing AI Strategy”

All good things in the data space begin and end with customers. So too data products. Well done, Amy Raygada!

Tom Redman, The Data Doc

Based on concrete, real enterprise experience, Amy Raygada delivers a solid blueprint for building data products in the AI era.

Ole Olesen-Bagneux, Author, VP & Chief Evangelist, PhD 

Amy Raygada delivers a practical, no-fluff guide that reframes “data work” into real products people actually adopt—grounded in user needs, clear ownership, and measurable business impact. Her frameworks make it easy to move from abstract strategy to day-to-day execution, without losing sight of governance, quality, and trust. The writing is sharp, relatable, and packed with lessons that will save teams from building “Ferraris nobody drives.” If you’re serious about turning data into outcomes—not just artifacts—Data Products, Volume 1 is the playbook you’ll keep within arm’s reach.

Jessica Talisman, Founder, Ontology Pipeline®️ and Contextually LLC

A compelling, insightful read offering fresh, structured perspectives on Data Products. Amy Raygada’s engaging storytelling empowers leaders and practitioners with frameworks to identify high-impact opportunities, understand user needs, build strong business cases, and create lasting organizational success.

Tobias Rebele, Data & AI Platform Leader – DACH, Middle East & LATAM

Amy didn’t write a book — she built a flight manual for data. The Data Products Volume 1 is the most compact, actionable guide I’ve ever seen for navigating the real-life mess of data management work. Open any page, and you’ll find complete clarity in under six sentences.

Aleksejs Plotnikovs, CDAO, Data Masterclass

Amy has a quite unique experience on Data & AI Products and impressively managed to condense it it this book… while keeping it really easy to read through. Full of very pragmatic tools, real stories and experiences, this first volume already covers a lot of key topics to approach Data Products in a holistic manner: processes, org models, roles, adoption & change, and of course how to assess value. The opening on AI Products, with their similarities and specificities, is brilliant! 

Avoiding the typical traps of being too conceptual and buzzwordy, this is the perfect book for all Data & AI practitioners and leaders willing to put things in motion and build Data & AI products that actually have an impact. Can’t wait for the next volumes!

Nicolas Averseng, Chief Product Officer, DataGalaxy

I highly recommend this book because it’s written by someone who has been there and done it, blending real world experience with clear, actionable advice and guidance. What stood out most to me is how it goes beyond theory, using practical examples and case studies to show how data products actually work in real organisations. The concepts are easy to understand, yet deep enough to help modern data teams shift toward product thinking and focus on delivering measurable business value.

Darren Wood

Data governance ultimately depends on what you choose to govern. As data products increasingly become the primary governed entity, understanding what they actually are becomes critical. This book offers clarity. And by the end, you won’t just own a Ferrari, but you’ll understand how to make it drivable and people will want to get behind that wheel.

Säde Haveri, Data Management Professional and Entrepreneur

Amy Raygada’s Data Products Volume 1 is a masterclass in shifting from technology-first projects to value-driven data products that prioritize the human experience. Drawing on her extensive experience transforming global organizations, Amy provides battle-tested frameworks that bridge the gap between technical excellence and genuine business impact. This book serves as an essential roadmap for any leader looking to turn complex data into a strategic asset that people actually love to use.

Dr.-Ing. Sebastian Werner, Director of Data & AI Solutions, Thoughtworks