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220104 ||| eng |
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|a 9789811668234
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| 100 |
1 |
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|a Ma, Yun
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| 245 |
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|a Enterprise Data at Huawei
|h Elektronische Ressource
|b Methods and Practices of Enterprise Data Governance
|c by Yun Ma, Hao Du
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2022, 2022
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| 300 |
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|a XXII, 240 p. 150 illus., 144 illus. in color
|b online resource
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| 505 |
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|a 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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|a E-Business
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|a Business
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|a Electronic commerce
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| 653 |
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|a Management science
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| 653 |
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|a Artificial Intelligence
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|a Business and Management
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|a Artificial intelligence
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|a Business information services
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| 653 |
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|a Business Information Systems
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| 700 |
1 |
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|a Du, Hao
|e [author]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 856 |
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|u https://doi.org/10.1007/978-981-16-6823-4?nosfx=y
|x Verlag
|3 Volltext
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|a 650
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| 520 |
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|a 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.
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