Data Stewardship in Action: A roadmap to data value realization and measurable business outcomes
暫譯: 數據管理實踐:實現數據價值與可衡量商業成果的藍圖

Lee, Pui Shing

  • 出版商: Packt Publishing
  • 出版日期: 2024-02-16
  • 售價: $2,050
  • 貴賓價: 9.5$1,948
  • 語言: 英文
  • 頁數: 272
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1837636591
  • ISBN-13: 9781837636594
  • 相關分類: Data Science資訊安全Information-management
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Take your organization's data maturity to the next level by operationalizing data governance


Key Features:


  • Develop the mindset and skills essential for successful data stewardship
  • Apply practical advice and industry best practices, spanning data governance, quality management, and compliance, to enhance data stewardship
  • Follow a step-by-step program to develop a data operating model and implement data stewardship effectively
  • Purchase of the print or Kindle book includes a free PDF eBook


Book Description:


In the competitive data-centric world, mastering data stewardship is not just a requirement-it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency.


From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You'll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You'll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you'll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship.


By the end of this book, you'll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.


What You Will Learn:


  • Enhance your job prospects by understanding the data stewardship field, roles, and responsibilities
  • Discover how to develop a data strategy and translate it into a functional data operating model
  • Develop an effective and efficient data stewardship program
  • Gain practical experience of establishing a data stewardship initiative
  • Implement purposeful governance with measurable ROI
  • Prioritize data use cases with the value and effort matrix


Who this book is for:


This book is for professionals working in the field of data management, including business analysts, data scientists, and data engineers looking to gain a deeper understanding of the data steward role. Senior executives who want to (re)establish the data governance body in their organizations will find this resource invaluable. While accessible to both beginners and professionals, basic knowledge of data management concepts, such as data modeling, data warehousing, and data quality, is a must to get started.

商品描述(中文翻譯)

透過將數據治理運營化,將您組織的數據成熟度提升到新水平

主要特點:


  • 培養成功數據管理所需的心態和技能

  • 應用實用建議和行業最佳實踐,涵蓋數據治理、質量管理和合規性,以增強數據管理能力

  • 遵循逐步計劃,開發數據運營模型並有效實施數據管理

  • 購買印刷版或Kindle書籍可獲得免費PDF電子書

書籍描述:

在競爭激烈的數據中心世界中,掌握數據管理不僅是必要條件,更是組織成功的關鍵。透過《數據管理實踐》,解鎖戰略卓越,這是您探索數據管理的複雜性及其實施以達到最大效率的指南。

從商業策略到數據策略,再到數據管理,本書展示了如何戰略性地部署您的工作人員、流程和技術,以實現高效的數據處理。您將掌握數據管理的基本原則,從理解不同的角色和責任到實施數據治理的最佳實踐。您將通過探索有效數據處理的技術和工具來提升您的數據管理技能。隨著您逐步深入各章,您會發現本書不僅幫助您發展成為成功數據管理者的基礎技能,還介紹了創新的方法,包括利用AI和GPT來增強數據管理。

在本書結束時,您將能夠通過制定政策和程序、建立專門的數據治理團隊以及創建數據治理路線圖,構建一個強大的數據治理框架,確保您的組織在動態的數據管理環境中蓬勃發展。

您將學到的內容:


  • 通過了解數據管理領域、角色和責任來提升您的就業前景

  • 發現如何制定數據策略並將其轉化為功能性數據運營模型

  • 開發有效且高效的數據管理計劃

  • 獲得建立數據管理倡議的實踐經驗

  • 實施有目的的治理並獲得可衡量的投資回報

  • 使用價值和努力矩陣來優先考慮數據使用案例

本書適合誰:

本書適合從事數據管理領域的專業人士,包括商業分析師、數據科學家和數據工程師,旨在深入了解數據管理者的角色。希望在其組織中(重新)建立數據治理機構的高級管理人員將發現這本資源非常寶貴。雖然對初學者和專業人士都很友好,但必須具備基本的數據管理概念知識,例如數據建模、數據倉儲和數據質量,以便開始學習。