Data as a Product Driver, the book
Strategies for Aligning Data and Product Teams to Transform Organizations
Learn to embed data successfully in cross-functional teams, build outcome-driven products, and establish your AI foundation.
Grounded in diverse industry experience with case studies spanning healthcare, manufacturing, logistics, public administration, and tech companies.
Essential reading for leadership teams driving organizational transformation forward.
About the book
In a world where products are increasingly driven by data and AI, companies that treat data as a support function to product, and fail to manage data assets with the same rigor as their customer-facing products, face significant barriers to growth.
To overcome this, this book provides strategies for transforming your organization from one that treats data as a support function into one that makes data a key driver of product development and business innovation.
At its core, the book establishes two fundamental pillars for successfully doing so: autonomous, outcome- and data-driven product teams, along with the need to manage data assets as products with complete lifecycle management. These principles are then expanded into several practices, implementation guides, and a maturity model that organizations of any size and industry can apply.
What will you learn?
After reading this book, you’ll be able to:
Reorganize your teams around business problems instead of technical disciplines
Measure outcomes that matter, rather than just tracking features shipped
Transition from centralized data teams to distributed data ownership
Validate data product ideas through discovery processes that connect initiatives to measurable business outcomes
Build effective data platform teams that enable autonomous product teams
Treat datasets, dashboards, and ML/AI algorithms as products with clear ownership and lifecycle management
Adapt your organization as GenAI reshapes product development
Who This Book is For
Executives and senior leaders driving organizational transformation (CTOs, CDOs, CPOs, VPs, and Directors) who struggle to get value from data in product teams. This book shows you practical strategies to make data people more product- and business-fluent, while making product people more data-literate. These challenges typically affect companies with 1-20 data people and growing organizations that need to support an increasing number of use cases to inform and drive product decisions.