Building a Data Culture: The Usage and Flow Data Culture Model
暫譯: 建立數據文化：使用與流動數據文化模型
Griffin, Gary W., Holcomb, David
- 出版商: Apress
- 出版日期: 2023-11-23
- 售價: $1,570
- 貴賓價: 9.5 折 $1,492
- 語言: 英文
- 頁數: 225
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1484299655
- ISBN-13: 9781484299654
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相關分類:
大數據 Big-data、Data Science
海外代購書籍(需單獨結帳)
商品描述
In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential due to a lack of understanding and effective utilization of data within their culture. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture.
The book emphasizes data strategy and data governance's pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate on the people, processes, and technology through analytics, literacy, governance, process management, and data inventory management.
The authors introduce the groundbreaking Usage and Flow Data Culture Model, a unique framework that enables organizations to evaluate and reshape their data culture based on distinct cultural types: Preservationist, Protectionist, Traditional, and Progressive. Each culture type is carefully dissected, revealing associated challenges and opportunities, uncovering suitable strategies in the process.
Developing a worthy data culture necessitates a shift in mindset and the development of relevant skills across the organization. Building a Data Culture is your roadmap to fostering data literacy, promoting data-driven decision-making, and cultivating a data-driven mindset.
What You'll Learn
- Assess your organization's current data culture
- Identify cultural strengths and weaknesses within your organization
- Develop a data governance program
- Define data policies and standards and establish decision-making processes
Who This Book is For
Professionals and leaders across various industries who are interested in building a data culture within their organizations. The typical reader may have a background in data management, analytics, business intelligence, or technology, but the book is designed to be accessible to a wide range of readers with varying levels of expertise.
商品描述(中文翻譯)
在當今快速變化的數位環境中，組織面臨著不斷增加的數據量，這些數據擁有驚人的潛力來推動商業成功。然而，許多企業因為缺乏對數據的理解和有效利用而難以發揮這種潛力。本書是一本全面的指南，揭示了數據的變革力量，並提供可行的見解，以培養以數據為驅動的組織文化。
本書強調數據策略和數據治理在培養成熟數據文化中的關鍵角色，並使用實用的見解、框架和最佳實踐來實現。這種方法確保了堅實的數據文化結構，維護數據的完整性、可及性和問責性。這些結構在分析、素養、治理、流程管理和數據庫存管理等方面運作，涵蓋人員、流程和技術。
作者介紹了開創性的使用與流動數據文化模型，這是一個獨特的框架，使組織能夠根據不同的文化類型（保護主義者、保護者、傳統主義者和進步主義者）評估和重塑其數據文化。每種文化類型都經過仔細剖析，揭示了相關的挑戰和機會，並在過程中發掘合適的策略。
發展一個值得的數據文化需要在心態上轉變，並在整個組織中發展相關技能。《建立數據文化》是您培養數據素養、促進以數據為驅動的決策和培養以數據為驅動的心態的路線圖。
您將學到的內容：
- 評估您組織當前的數據文化
- 確定您組織內的文化優勢和劣勢
- 發展數據治理計劃
- 定義數據政策和標準，並建立決策流程
本書適合對在其組織內建立數據文化感興趣的各行各業的專業人士和領導者。典型的讀者可能擁有數據管理、分析、商業智慧或技術的背景，但本書旨在讓各種不同專業水平的讀者都能輕鬆理解。
作者簡介
Gary W. Griffin is a noted author, speaker, innovator and consultant who has spent over 30 years in the public and private sectors delivering enterprise solutions that focus on data, analytics, and strategy. He is the inventor of Datalink 1000, a Master Data Management and Data Quality tool. He also developed the data strategy for one of the first web-based assessment systems for K-12 education. Dr. Griffin has a Master of Science and a Doctor of Philosophy in Sociology.
David Holcomb is a speaker, writer, practitioner, and theorist in data warehousing, business intelligence, organizational behavior and culture, and cyber security. His career includes leadership roles in business operations, marketing, sales, product development, and information technology at leading brands, including Verizon, Western Union, and University of Chicago Medicine. Dr. Holcomb holds a Master of Science in Management Information Systems, a Doctor of Philosophy in Business Administration, and a Doctor of Philosophy in Information Technology.
作者簡介(中文翻譯)
Gary W. Griffin 是一位知名的作者、演講者、創新者和顧問，擁有超過 30 年的公共和私人部門經驗，專注於提供以數據、分析和策略為重點的企業解決方案。他是 Datalink 1000 的發明者，這是一款主數據管理和數據質量工具。他還為 K-12 教育的第一個基於網絡的評估系統之一開發了數據策略。Griffin 博士擁有社會學的碩士學位和哲學博士學位。
David Holcomb 是一位在數據倉儲、商業智慧、組織行為與文化以及網絡安全領域的演講者、作家、實踐者和理論家。他的職業生涯包括在領先品牌（如 Verizon、Western Union 和芝加哥大學醫學中心）擔任商業運營、市場營銷、銷售、產品開發和信息技術的領導角色。Holcomb 博士擁有管理信息系統的碩士學位、商業管理的哲學博士學位以及信息技術的哲學博士學位。
