Developing a Path to Data Dominance: Strategies for Digital Data-Centric Enterprises

Langer, Arthur, Mukherjee, Arka

Developing a Path to Data Dominance: Strategies for Digital Data-Centric Enterprises
  • 出版商: Springer
  • 出版日期: 2024-04-27
  • 售價: $2,680
  • 貴賓價: 9.5 折 $2,546
  • 語言: 英文
  • 頁數: 283
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031264037
  • ISBN-13: 9783031264030

    • 海外代購書籍(需單獨結帳)

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商品描述

Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected.

Featuring case examples from companies such as Lego, FedEx, General Electric (GE), Pfizer, P&G and more, this book is appropriate for C-level executives engagedin the digital transformation of their firms; entrepreneurs of digital platform companies; and senior software engineers that need to design Internet of Things (IoT) devices and integrate them with block chain and multi-cloud architectures. In addition, this book is also useful for graduate-level coursework in data science.

商品描述(中文翻譯)

大多數現有公司目前面臨困難，因為它們缺乏將產品部門轉變為獨立平台的工具和策略，這些平台可以根據消費者需求進行改造，形成動態的新產品。本書為管理者和專業人士提供了設計軟件和硬件架構以支持數據平台組織的必要方法。具體而言，它演示了如何自動將現有平台分解為較小的部分，以便重複使用形成新的變體。這項任務需要進行重大的分析和設計方法和程序，以創建基於數據而不是產品的基礎設施。這些新的知識庫使以數據為中心的專業人士能夠追求能更好地預測和應對意外情況的行動。

本書以樂高、聯邦快遞、通用電氣（GE）、輝瑞、寶潔等公司的案例為特色，適合從事公司數字轉型的高層主管、數字平台公司的企業家，以及需要設計物聯網（IoT）設備並將其與區塊鏈和多雲架構集成的高級軟件工程師。此外，本書還適用於數據科學研究生課程。

作者簡介

Arthur Langer is Associate Vice Provost and the Director of the Center forTechnology Management and Digital Leadership at Northeastern Univeristy. He is Professor of Professional Practice in Northeastern's Department of Entrepreneurship and Innovation at the D'Amore-McKim School of Business (Boston, MA, USA). He is also Honorary Professor of Professional Practice in the Department of Organization and Leadership at Columbia University's Graduate School of Education (Teachers College). Dr. Langer has numerous published articles and papers relating to service learning for underserved populations, IT organizational integration, mentoring, and staff development. He consults with corporations and universities worldwide on information technology, staff development, management transformation, and curriculum development. He is also the Chairman and Founder of Workforce Opportunity Services (www.wforce.org), a nonprofit social venture that provides scholarships and careers to underserved populations around the world.


Arka Mukherjee is CEO of Global IDs Inc., a data management software company based in New York City. The company provides software and services for solving complex data analysis and integration problems in global companies. Dr. Mukherjee was formerly a principal in IBM, leading the ERP data warehousing area, and brings leadership expertise from consulting firms Accenture and KPMG.


作者簡介(中文翻譯)

Arthur Langer是東北大學的副教務長兼技術管理與數位領導中心主任。他是東北大學D'Amore-McKim商學院（位於美國馬薩諸塞州波士頓）的專業實踐教授，專攻創業與創新學系。他還是哥倫比亞大學教育研究院（Teachers College）組織與領導學系的名譽專業實踐教授。Langer博士發表了許多與服務學習、IT組織整合、指導和員工發展相關的文章和論文。他在全球的企業和大學中提供信息技術、員工發展、管理轉型和課程開發的諮詢服務。他還是Workforce Opportunity Services（www.wforce.org）的主席和創辦人，該非營利社會企業為全球弱勢群體提供獎學金和職業機會。

Arka Mukherjee是位於紐約市的數據管理軟件公司Global IDs Inc.的首席執行官。該公司提供軟件和服務，解決全球企業中的複雜數據分析和整合問題。Mukherjee博士曾是IBM的負責企業資源計劃（ERP）數據倉儲領域的負責人，並從咨詢公司Accenture和KPMG帶來了領導專業知識。

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