Book Announcement: "Data as a Product Driver"
After more than 10 years working at the intersection of product and data, last year I decided to start writing a book that genuinely bridges both worlds. And I am happy to announce that the book is now finished and will be published in the new year, thanks to Apress Springer Nature.
Here is how the book starts:
The divide between product and data functions costs organizations money, speed, and competitive advantage every day. Data teams waste time searching for opportunities to collaborate with product groups. Product teams often feel little ownership of the data in their domain. Data needed for analysis goes missing because features are released without proper tagging. And the list goes on.
Sounds familiar? Then you might be interested in reading Data as a Product Driver (also known as the truck book 😜) when it comes out.
Why Data as a Product Driver?
Throughout my career, I have read both product management and data books extensively. Product management books taught me about user research, product discovery, and becoming a better manager, but they treated data as something that happens elsewhere. Data books taught me about data modeling, warehouses, and how to implement ML and AI applications, but they didn’t do that from a product perspective.
I never found a book that bridges both worlds. So I wrote it.
In the book, I detail the strategies for transforming product organizations using data, including outcome-oriented measurement, validating ideas through product discovery, treating data as a product, and more!
Who is this book for?
I wrote this book for executives and senior leaders driving organizational transformation: CTOs, CDOs, CPOs, VPs, and Directors who are struggling to get value from data and data teams.
This book shows leadership teams the importance of making data people more product- and business-fluent, and product people more data-literate.
These challenges and strategies typically affect companies with 1-20 data people and growing organizations, which need to support an increasing number of use cases to inform and drive product decisions.
If you’re asking questions like “How do we organize our data teams?” or “Should we centralize or distribute our data capabilities?”, “How do we make our product teams work with data?” or “How do we actually prepare for AI adoption beyond buying tools?” This book gives you strategies and a framework for answering them.
Having said that, the book also serves product managers, data professionals, and anyone bridging the gap between data professionals and business and product stakeholders. It will help them understand how their role fits within this broader transformation.
I will share more information about the book and the writing process soon, so stay tuned! For now, if you are interested in the topic, you can already pre-order the book on Amazon.com. If you know someone who might be interested, it would help me a lot if you could share this news with them.