Data in the D Co-Founder Ryan Dolley is releasing his first book Building Business Intelligence with AI in June 2027. Join Ryan for an open discussion about the process of writing a technical book, the benefits and challenges of publishing with a professional team vs. independently, and highlights from the book.
Publisher: Wiley
Book description:
A step-by-step guide to AI-native analytics systems for BI practitioners
Building Business Intelligence Apps with AI provides a step-by-step guide for data analysts, data engineers, and BI developers who need to integrate AI into their analytics workflows. Written by Ryan Dolley, a data industry veteran with fifteen years of experience across BI development, consulting, and data vendor roles, this book shows how to partner with AI to deliver better data models, dashboards, and business queries while building AI-native experiences for end users.
The book addresses data foundations, outsourcing repetitive tasks to AI, and scaling autonomous analytics systems that maintain accuracy and data governance. Readers learn practical steps for increasing individual and team effectiveness using AI while avoiding common pitfalls such as hallucination, data inaccuracy, and user abandonment. It delivers operating models that data departments need, covering everything from data blending and dashboard creation to personalization and responsiveness.
Ryan Dolley
Solo Data & Analytics Advisor | Host of Super Data Brothers
I've sat at every chair in the BI and analytics industry; implementer, sales engineer, product leader and vendor executive. Now I'm on the outside, and I help data and analytics companies figure out why their product isn't landing the way they think it should.
I advise on product positioning, go-to-market strategy, analyst relations and how to talk to enterprise buyers who've heard it all before.
I host the Super Data Brothers show every week at 12:00PM Eastern on LinkedIn and YouTube, write the Super Data Blog (superdatablog.substack.com), and I'm writing a book on building analytics applications with LLMs with Wiley.
Really, I've loved analytics since I was about 7 years old, when I would key the attributes of Marvel superheroes into Excel to build line charts proving the Silver Surfer could beat Hulk. I've moved on from Excel but the line charts never left me.