Enterprise Data at Huawei: Methods and Practices of Enterprise Data Governance

Author:   Yun Ma ,  Hao Du
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2022
ISBN:  

9789811668258


Pages:   240
Publication Date:   24 November 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Enterprise Data at Huawei: Methods and Practices of Enterprise Data Governance


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Overview

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. 

Full Product Details

Author:   Yun Ma ,  Hao Du
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2022
Weight:   0.409kg
ISBN:  

9789811668258


ISBN 10:   9811668256
Pages:   240
Publication Date:   24 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

Chapter 1. Data-driven Enterprise Digital Transformation.- Chapter 2. Construct a Comprehensive Enterprise Data Governance System.- Chapter 3. Differentiated Enterprise Data Classification Management Framework.- Chapter 4. “Business Transaction”-oriented Information Architecture Construction.- Chapter 5. “Connecting Sharing”-oriented Data Foundation Construction.- Chapter 6. “Self-service Consumption”-oriented Data Service Construction.- Chapter 7. “Digital Twin” — Building Full Data Perception Ability.- Chapter 8. “Clean Data” — Building Comprehensive Quality Management Ability.- Chapter 9. “Security Compliance” — Building Controllable Data Sharing Ability.- Chapter 10. The Future Has Come: Data Becomes Core Competency for an Enterprise.

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