000 | 01613nam a22002177a 4500 | ||
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999 |
_c5154 _d5154 |
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005 | 20230313110951.0 | ||
008 | 230313b ||||| |||| 00| 0 eng d | ||
020 | _a9789811668227 | ||
082 |
_a658.054 _bMA |
||
100 |
_aMa, Yun _911956 |
||
245 |
_aEnterprise data at huawei: _bmethods and practices of enterprise data governance |
||
260 |
_bSpringer _aSwitzerland _c2022 |
||
300 | _axxii, 240 p. | ||
365 |
_aEURO _b119.99 |
||
520 | _aThis 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. | ||
650 |
_aArtificial intelligence _91478 |
||
650 |
_aBusiness--Data processing _9840 |
||
650 |
_aManagement science _9754 |
||
650 |
_aBusiness information services _910199 |
||
942 |
_2ddc _cBK |