Minding the Machines: Building and Leading Data Science and Analytics Teams
暫譯: 關注機器:建立與領導數據科學與分析團隊

Adamson, Jeremy

  • 出版商: Wiley
  • 出版日期: 2021-07-27
  • 定價: $1,400
  • 售價: 9.0$1,260
  • 語言: 英文
  • 頁數: 240
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1119785324
  • ISBN-13: 9781119785323
  • 相關分類: Data Science
  • 立即出貨 (庫存 < 3)

商品描述

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.

商品描述(中文翻譯)

組織、規劃並建立一支卓越的數據分析團隊

Minding the Machines: Building and Leading Data Science and Analytics Teams中,人工智慧和分析策略專家Jeremy Adamson提供了一個易於理解且具洞察力的路線圖,幫助組織結構化和領導成功的分析團隊。本書探討了組織在首次進入分析領域或多次重啟團隊以尋求成功時所需的任務、策略、方法和框架。

在本書中,您將發現:


  • 專注於策略、流程和人員三大支柱及其在建立分析團隊的迭代和持續努力中的角色

  • 對成功分析團隊遵循的三個指導原則的重複強調:及早開始、慢慢進行、全心投入

  • 在組織中建立新的分析單位時,設定明確目標和目的的重要性

Minding the Machines非常適合負責結構化和領導成功分析團隊的高層主管、經理、團隊負責人及其他商業領導者,同時也是數據科學家和分析師不可或缺的資源,幫助他們更好地理解自己的個別努力如何融入團隊的整體成果。