Minding the Machines: Building and Leading Data Science and Analytics Teams

by Jeremy Adamson

Organize, plan, and build an exceptional data analytics team within your organization

In Minding the Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success.

In this book, you’ll

A focus on the three pillars of strategy, process, and people and their role in the iterative and ongoing effort of building an analytics team Repeated emphasis on three guiding principles followed by successful analytics start early, go slow, and fully commit The importance of creating clear goals and objectives when creating a new analytics unit in an organization Perfect for executives, managers, team leads, and other business leaders tasked with structuring and leading a successful analytics team, Minding the Machines is also an indispensable resource for data scientists and analysts who seek to better understand how their individual efforts fit into their team’s overall results.

Genres: Nonfiction, Leadership, Business

240 pages, Kindle Edition

Published June 25, 2021

Reviews

[Christina Stathopoulos · Rating 4 out of 5]

Given that analytics & data science have become such hot topics within business, WHY do so many companies still fail at making it work? "Most data science leaders, focusing mainly on the technical aspects of their craft, have struggled to find successes in organizations & to unlock real business value." So this book looks to fill that gap! It is based around 3 key pillars: Strategy, Process and People. The book goes into detail on how to properly build & lead data science and analytics teams within any org. This is not a technical book by any means, but rather very deeply business and managerial focused. I think it would be more helpful for experienced business and analytics leader, in order to understand many of the points made. It can also be read by those just starting out who should come back and reference it as they grow in their career. I really enjoyed the last bonus chapter that covered what's next, the future of business analytics: no-code and low-code, edge AI, bias and ethics, data for good and data for bad, etc

[Bart Hamers · Rating 5 out of 5]

As a practitioner and analytics leader with over 20 years of experience in the domain of data, I really enjoyed reading this book. It summarizes a lot of best practices and experience.
The book does not give an introduction and AI or analytics, but focuses on the managerial aspects of leading in the world AI and analytics. In this way this book is very unique.
The book covers many essential steps to lead analytics team in larger organizations.
For managers new in the field of (analytics) management it provides many tips and tricks.
For experienced manager it is the perfect checklist to gauge where you are in your analytics maturity.

Thanks to the author!

Bart

[Carlos · Rating 5 out of 5]

It's a book about building and leading analytics teams, so if you're interested in that this is a book you should read. It's broad enough to touch on even topics in the periphery, yet still tell a coherent story. Just when you think it's starting to sound like a boring instruction manual, hell quote the movie Pi and suck you back in.

Well done.

[Anuvrat Singh · Rating 5 out of 5]

Great insights!

It is a highly recommended read for anyone involved in leading an analytics team. This book provides a comprehensive roadmap for building a successful analytics team. Mr. Jeremy blends practical experience and academic research to provide an insightful guide that covers both technical and non-technical aspects of building an analytics team.

Also, a great book for future leaders and managers/students who are currently pursuing education in the field of business/stats/analytics.

[Virginia · Rating 5 out of 5]

⭐️⭐️⭐️⭐️⭐️
I received an advance review copy for free, and I am leaving this review voluntarily.
Minding the Machines takes complex scientific concepts and presents them in an accessible and engaging way, making the fascinating world of science feel approachable. With thought-provoking insights and thorough research, it’s a captivating read for anyone curious about the natural world and the forces shaping it.

[Danilo Steckelberg · Rating 5 out of 5]

Excelente livro para quem está em posição de liderança de áreas que usam ou produzem dados intensivamente.
Oferece panoramas gerais e conceituais que ajudam a estruturar próximos passos, roadmaps, etc., que podem servir para ganhar buy-in de stakeholders.

[Akash Das · Rating 5 out of 5]

Insightful and futuristically focused!