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Enterprise Data at Huawei

Methods and Practices of Enterprise Data Governance

  • Book
  • © 2022

Overview

Authors:
  1. Yun Ma

    1. Huawei Technologies Co., Ltd, Shenzhen, China

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    You can also search for this author in PubMed   Google Scholar

  2. Hao Du

    1. Huawei Technologies Co., Ltd, Shenzhen, China

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    You can also search for this author in PubMed   Google Scholar

  • Provides a comprehensive overview of Huawei’s experience and best practices learned in data governance
  • Identifies common challenges faced by non-digital native enterprises, along with how they are addressed at Huawei
  • Introduces Huawei’s unique innovations in data governance

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxii
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  2. Data-Driven Digital Transformation of Enterprises

    • Yun Ma, Hao Du
    Pages 1-12

  3. Establishing an Enterprise-Level Integrated Data Governance System

    • Yun Ma, Hao Du
    Pages 13-26

  4. Differentiated Data Classification Management Framework

    • Yun Ma, Hao Du
    Pages 27-56

  5. Business Transaction-Oriented IA Construction

    • Yun Ma, Hao Du
    Pages 57-75

  6. Construction of a Data Foundation Centered on Connection and Sharing

    • Yun Ma, Hao Du
    Pages 77-109

  7. Data Service Development Targeting Self-service Consumption

    • Yun Ma, Hao Du
    Pages 111-161

  8. Building the Full Data Awareness Capability of “Digital Twins”

    • Yun Ma, Hao Du
    Pages 163-180

  9. Building Comprehensive Quality Management Capabilities to Ensure “Clean Data”

    • Yun Ma, Hao Du
    Pages 181-203

  10. Building Secure, Compliant, and Controllable Data Sharing Capabilities

    • Yun Ma, Hao Du
    Pages 205-225

  11. Data Is Becoming a Core Competency of Enterprises

    • Yun Ma, Hao Du
    Pages 227-240
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Keywords

About this book

This book systematically introduces the data governance and digital transformation at Huawei, from the perspectives of technology, process, management, and so on. Huawei is a large global enterprise engaging in multiple types of business in over 170 countries and regions. Its differentiated operation is supported by an enterprise data foundation and corresponding data governance methods. With valuable experience, methodology, standards, solutions, and case studies on data governance and digital transformation, enterprise data at Huawei is ideal for readers to learn and apply, as well as to get an idea of the digital transformation journey at Huawei. 

 

This book is organized into four parts and ten chapters. Based on the understanding of “the cognitive world of machines,” the book proposes the prospects for the future of data governance, as well as the imaginations about AI-based governance, data sovereignty, and building a data ecosystem. 



Authors and Affiliations

  • Huawei Technologies Co., Ltd, Shenzhen, China

    Yun Ma, Hao Du

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