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

Adamson, Jeremy

Softcover

ISBN 10: 1119785324 ISBN 13: 9781119785323

Verlag: Wiley, 2021

Inhaltsangabe

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

In Minding the Machines: 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 discover:

• 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 teams: 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.

Über diesen Titel

Über die Autorin bzw. den Autor

Jeremy Adamson is a leader in AI and analytics strategy across industries. Jeremy has worked with major organizations to establish leadership positions in data science and to unlock real business value using advanced analytics. He holds an MBA from the University of Calgary and is a professional engineer in the province of Alberta.

Von der hinteren Coverseite

Make data science part of the lifeblood of your business, and avoid costly missteps

By now, almost every organization has stepped into the world of big data analytics―and some of us have already tried again and again to get it right. We know that data science has the potential to unlock tremendous value, so why is it so hard to get it right? In Minding the Machines, analytics strategy expert Jeremy Adamson explains that the problem is often one of too many cooks in the kitchen, and too few recipes for success. This book shows you how to blend data science with business acumen.

Inside, you’ll find a roadmap for internalizing the three pillars of analytics: strategy, process, and people. Create an analytics operation that can truly transform outcomes.

• Install the right leaders and position your analytics unit within your organization
• Integrate analytics insights into the business in a constructive and meaningful way
• Identify and fully commit to projects that will add value over the long term
• Hire the right people and get them working for the organization as a whole

Anyone who aspires to be part of a world-class analytics team will benefit from the tasks, methods, and frameworks clearly presented in this valuable book.

“For leaders craving a playbook that puts together all the key elements required for building a high performing Advanced Analytics & AI function in a comprehensive but down to earth manner, this book is most definitely a must read.”
― Celia Wanderley, Chief Customer Officer and Head of Services at AltaML

“… with detailed explanations and checklists throughout, anyone looking to grow an analytics and data science organization can find support within the book.”
― Bill Franks, author of The Analytics Revolution, and Director, Center for Statistics and Analytical Research, Kennesaw State University

“ … a valuable resource for all parties as they advance the role of analytics, and being digital, in their organization… ”
― Lee Ackerman, Director of Digital Strategy, SAIT’s School for Advanced Digital Technology

Aus dem Klappentext

Make data science part of the lifeblood of your business, and avoid costly missteps

By now, almost every organization has stepped into the world of big data analytics—and some of us have already tried again and again to get it right. We know that data science has the potential to unlock tremendous value, so why is it so hard to get it right? In Minding the Machines, analytics strategy expert Jeremy Adamson explains that the problem is often one of too many cooks in the kitchen, and too few recipes for success. This book shows you how to blend data science with business acumen.

Inside, you’ll find a roadmap for internalizing the three pillars of analytics: strategy, process, and people. Create an analytics operation that can truly transform outcomes.

• Install the right leaders and position your analytics unit within your organization
• Integrate analytics insights into the business in a constructive and meaningful way
• Identify and fully commit to projects that will add value over the long term
• Hire the right people and get them working for the organization as a whole

Anyone who aspires to be part of a world-class analytics team will benefit from the tasks, methods, and frameworks clearly presented in this valuable book.

“For leaders craving a playbook that puts together all the key elements required for building a high performing Advanced Analytics & AI function in a comprehensive but down to earth manner, this book is most definitely a must read.”
— Celia Wanderley, Chief Customer Officer and Head of Services at AltaML

“… with detailed explanations and checklists throughout, anyone looking to grow an analytics and data science organization can find support within the book.”
— Bill Franks, author of The Analytics Revolution, and Director, Center for Statistics and Analytical Research, Kennesaw State University

“ … a valuable resource for all parties as they advance the role of analytics, and being digital, in their organization… ”
— Lee Ackerman, Director of Digital Strategy, SAIT’s School for Advanced Digital Technology

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 1119785324
• ISBN 13: 9781119785323
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 240
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland