Data Governance: From the Fundamentals to Real Cases
暫譯: 數據治理：從基礎到實際案例
Caballero, Ismael, Piattini, Mario
- 出版商: Springer
- 出版日期: 2023-12-28
- 售價: $6,100
- 貴賓價: 9.5 折 $5,795
- 語言: 英文
- 頁數: 241
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031437721
- ISBN-13: 9783031437724
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商品描述
This book presents a set of models, methods, and techniques that allow the successful implementation of data governance (DG) in an organization and reports real experiences of data governance in different public and private sectors.
To this end, this book is composed of two parts. Part I on "Data Governance Fundamentals" begins with an introduction to the concept of data governance that stresses that DG is not primarily focused on databases, clouds, or other technologies, but that the DG framework must be understood by business users, systems personnel, and the systems themselves alike. Next, chapter 2 addresses crucial topics for DG, such as the evolution of data management in organizations, data strategy and policies, and defensive and offensive approaches to data strategy. Chapter 3 then details the central role that human resources play in DG, analysing the key responsibilities of the different DG-related roles and boards, while chapter 4 discusses the most common barriers to DG in practice. Chapter 5 summarizes the paradigm shifts in DG from control to value creation. Subsequently chapter 6 explores the needs, characteristics and key functionalities of DG tools, before this part ends with a chapter on maturity models for data governance. Part II on "Data Governance Applied" consists of five chapters which review the situation of DG in different sectors and industries. Details about DG in the banking sector, public administration, insurance companies, healthcare and telecommunications each are presented in one chapter.
The book is aimed at academics, researchers and practitioners (especially CIOs, Data Governors, or Data Stewards) involved in DG. It can also serve as a reference for courses on data governance in information systems.
商品描述(中文翻譯)
本書介紹了一套模型、方法和技術，旨在成功實施組織內的數據治理（Data Governance, DG），並報告了在不同公共和私營部門的數據治理實際經驗。
為此，本書分為兩個部分。第一部分「數據治理基礎」首先介紹了數據治理的概念，強調DG並不主要集中於數據庫、雲端或其他技術，而是必須讓業務使用者、系統人員及系統本身都能理解DG框架。接下來，第二章探討了DG的關鍵主題，例如組織內數據管理的演變、數據策略和政策，以及數據策略的防禦性和攻擊性方法。第三章詳細說明了人力資源在DG中的核心角色，分析了不同DG相關角色和委員會的主要責任，而第四章則討論了實踐中最常見的DG障礙。第五章總結了DG從控制到價值創造的範式轉變。隨後，第六章探討了DG工具的需求、特徵和關鍵功能，最後以一章有關數據治理成熟度模型的內容結束這一部分。第二部分「應用數據治理」由五章組成，回顧了不同部門和行業的DG情況。銀行業、公共行政、保險公司、醫療保健和電信等領域的DG細節各自以一章呈現。
本書旨在針對學術界、研究人員和實務工作者（特別是首席資訊官、數據治理者或數據管理者）參與DG的需求。它也可以作為信息系統中數據治理課程的參考資料。
作者簡介
Ismael Caballero is Professor with the Information Systems and Technologies Department at the University of Castilla-La Mancha (UCLM, Spain). His research interests are in the areas of Data Quality Management and Data Governance. He has published more than 75 papers in journals and conferences and has also participated in the organization of several scientific events related to data quality management and data governance. He is Head of the "Data Governance and Data Management Program" of UCLM in collaboration with DAMA Spain to prepare students for DAMA's Certified Data Management Professional. He also participated in the development of several ISO standards related to the area, like the ISO 8000-60 series on data quality management processes or in the Spanish National Standards (UNE) Specifications UNE 0077 (Data Governance), UNE 0078 (Data Management), UNE 0079 (Data Quality Management), UNE 0080 (Data Maturity Evaluation) and UNE 0081 (Data Quality Evaluation). He is one of the founders and partners of the Spinoff DQTeam, specialized in data quality and data governance.
Mario Piattini is Professor of Computer Languages and Systems at UCLM, and Director of the Alarcos Research Group, focusing on the quality of information systems. He is the founder of several spinoffs including AQCLab, the only international accredited laboratory for data quality assessment, and DQTeam, a consulting firm specializing in data governance and data quality. Mario is recognized among the World's ten best computer science researchers in 2021, according to the ranking drawn up by Research.com, and appears on the Stanford University list of the world's most widely cited scientists. He has participated in several in the development of several ISO standards, as well as in the development of the Spanish National Standards (UNE) Specifications UNE 0077 (Data Governance), UNE 0078 (Data Management), UNE 0079 (Data Quality Management), UNE 0080 (Data Maturity Evaluation) and UNE 0081 (Data Quality Evaluation).
作者簡介(中文翻譯)
伊斯梅爾·卡巴列羅是西班牙卡斯蒂利亞-拉曼查大學（UCLM）資訊系統與技術系的教授。他的研究興趣集中在數據質量管理和數據治理領域。他已在期刊和會議上發表了超過75篇論文，並參與組織了多個與數據質量管理和數據治理相關的科學活動。他是UCLM的「數據治理與數據管理計畫」的負責人，與DAMA西班牙合作，為學生準備DAMA的認證數據管理專業人員考試。他還參與了多項與該領域相關的ISO標準的制定，如ISO 8000-60系列的數據質量管理流程，或西班牙國家標準（UNE）規範UNE 0077（數據治理）、UNE 0078（數據管理）、UNE 0079（數據質量管理）、UNE 0080（數據成熟度評估）和UNE 0081（數據質量評估）。他是專注於數據質量和數據治理的衍生公司DQTeam的創始人之一。
馬里奧·皮亞蒂尼是UCLM的計算機語言與系統教授，也是阿拉爾科斯研究小組的主任，專注於資訊系統的質量。他創立了幾個衍生公司，包括AQCLab，這是唯一一家國際認證的數據質量評估實驗室，以及DQTeam，一家專注於數據治理和數據質量的顧問公司。根據Research.com的排名，馬里奧在2021年被認為是全球十位最佳計算機科學研究人員之一，並出現在史丹佛大學的全球最被引用科學家名單上。他參與了多項ISO標準的制定，以及西班牙國家標準（UNE）規範UNE 0077（數據治理）、UNE 0078（數據管理）、UNE 0079（數據質量管理）、UNE 0080（數據成熟度評估）和UNE 0081（數據質量評估）的制定。
