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

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.

「組織、規劃並建立一支卓越的數據分析團隊，助您的組織取得成功」

在《Minding the Machines: Building and Leading Data Science and Analytics Teams》一書中，AI和分析策略專家Jeremy Adamson提供了一個易於理解且深入的路線圖，以結構化和領導一支成功的分析團隊。本書探討了組織初次進入分析領域或正在尋求成功的組織重新啟動團隊時所需的任務、策略、方法和框架。

在本書中，您將會發現：
- 關注策略、流程和人員三大支柱，以及它們在建立分析團隊的迭代和持續努力中的角色
- 強調成功分析團隊遵循的三個指導原則：早期開始、慢慢前進、全力以赴
- 在組織中建立新的分析單位時，創建明確的目標和目的的重要性

《Minding the Machines》非常適合執行官、經理、團隊領導和其他負責結構和領導成功分析團隊的商業領導者閱讀，同時也是數據科學家和分析師的必備資源，幫助他們更好地理解個人努力如何融入團隊的整體成果。