Enterprise data at Huawei : methods and practices of enterprise data governance / Yun Ma, Hao Du.
Ma, Yun, author.; Du, Hao, author.
2022
HF5548.2 .M3 2022
Available Online

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Title Enterprise data at Huawei : methods and practices of enterprise data governance / Yun Ma, Hao Du.
Author Ma, Yun, author.
ISBN 9789811668234 (electronic bk.)
981166823X (electronic bk.)
9789811668227
9811668221
DOI https://doi.org/10.1007/978-981-16-6823-4
Published Singapore : Springer ; [China] : China Machine Press, [2022]
Copyright ©2022
Language English
Language Note Translated from Chinese.
Description 1 online resource : illustrations (chiefly color)
Other Standard Identifiers 10.1007/978-981-16-6823-4 doi
Call Number HF5548.2 .M3 2022
Dewey Decimal Classification 658/.054
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed December 9, 2021).
Added Author Du, Hao, author.
Available in Other Form Enterprise data at Huawei.
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Record Appears in Online Resources > Ebooks
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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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