Data Analytics and Digital Transformation

Beulen, Erik, Dans, Marla A.

Data Analytics and Digital Transformation
  • 出版商: Routledge
  • 出版日期: 2023-12-01
  • 售價: $2,060
  • 貴賓價: 9.5 折 $1,957
  • 語言: 英文
  • 頁數: 238
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032160225
  • ISBN-13: 9781032160221
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success. This book explores the crossroads between them and how to leverage their connection for improved business outcomes. The need to collaborate and share data is becoming an integral part of digital transformation. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. Critical issues are discussed such as data quality and data governance, as well as compliance, privacy, and ethics. It also offers insights into how both private and public organizations can innovate and keep up with growing data volumes and increasing technological developments in the short, mid, and long term. This book will be of direct appeal to global researchers and students across a range of business disciplines, including technology and innovation management, organizational studies, and strategic management. It is also relevant for policy makers, regulators, and executives of private and public organizations looking to implement successful transformation policies.

商品描述(中文翻譯)

了解數據分析的重要性對於數位轉型至關重要，但在許多組織中，數據分析往往是獨立的單位，缺乏完全一致的目標。隨著組織在競爭環境中應用數位轉型以適應和靈活應對，數據分析可以在其成功中發揮關鍵作用。本書探討了它們之間的交叉點，以及如何利用它們的聯繫來改善業務成果。在數位轉型中，合作和共享數據的需求已成為不可或缺的一部分。這不僅創造了新的機會，也需要經過深思熟慮並持續評估的決策，因為競爭力攸關重大。本書詳細介紹了方法、概念和框架，以及可行的見解和良好的實踐，包括結合數據管理和敏捷概念。討論了關鍵問題，如數據質量和數據治理，以及合規性、隱私和倫理。它還提供了關於私營和公共組織如何在短期、中期和長期內創新並跟上不斷增長的數據量和技術發展的見解。本書將直接吸引全球各個商業學科的研究人員和學生，包括技術和創新管理、組織研究和戰略管理。對於政策制定者、監管機構和私營和公共組織的高管來說，它也具有相關性，他們希望實施成功的轉型政策。

作者簡介

Erik Beulen is a professor of Information Management at The University of Manchester/AMBS - UK. He is also a professor of Information Management & Digital Transformations at Tilburg University - NL and the academic director of the executive MSc Information Management & Digital Transformations at TIAS Business School (NL). Erik is also an external advisor at Bain & Company.

Marla A. Dans is Head of Data Management and Governance at Chicago Trading Company (CTC) - United States. Prior to CTC, Marla was Head of Data Governance at Tradeweb, consulted for data programs across multiple financial services firms, held a strategic position in JP Morgan Asset Management's chief data office, and for nearly two decades worked for Morgan Stanley in executive director roles in information technology, across application development, DevOps, infrastructure, and information security roles.

作者簡介(中文翻譯)

Erik Beulen是英國曼徹斯特大學/AMBS的資訊管理教授，也是荷蘭蒂爾堡大學的資訊管理與數位轉型教授，並擔任TIAS商學院執行碩士學位資訊管理與數位轉型學術主任。Erik還是Bain & Company的外部顧問。

Marla A. Dans是美國芝加哥交易公司（CTC）的數據管理和治理主管。在加入CTC之前，Marla曾擔任Tradeweb的數據治理主管，並在多家金融服務公司中為數據項目提供諮詢服務，曾在JP Morgan Asset Management的首席數據辦公室擔任戰略職位，並在摩根士丹利擔任近20年的執行董事職位，涵蓋應用程式開發、DevOps、基礎設施和信息安全等領域。

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