Digital China: Big Data and Government Managerial Decision

Springer, 2023

This book is the first practical case study on the application of big data in China's government management scenarios, which is important for comprehensively presenting the achievements of China's e-government and digital construction as well as deeply understanding the implementation of big data strategy in China. The author of this book is one of the earliest practitioners engaged in the study of big data applications, and has personally experienced the development, major events, application cases, and industry changes of big data in China. Cases in this book are all actual projects carried out. The author of this book explains the development history of big data she has personally experienced, presenting in an easy-to-understand way the basic concept and characteristics of big data and practical interpretation, which provides important reference for the practical work of government and enterprise managers. The application ideas of big data in management innovation are proposed, and scenarios are described and discussed in terms of accelerating research on sharing big data in government affairs, breaking barriers, realizing data flow information sharing, creating one-stop services, improving the corresponding policy system for sharing big data in government affairs, building public information platform for e-government, and strengthening network and information infrastructure. Especially for the government personnel in departments, this book will give them a better understanding of the charm and value of big data, intuitively understand the utilization and analysis of big data, carry out effective government management and make correct decisions, so as to improve the data literacy of organizations and individuals, form scientific support for their own government's decision-making and management, thus promote the continued construction of digital government, digital China, and digital economy era based on the application of big data.

• Curatore: Qing Jiang
• Anno edizione: 2023
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9789811997150

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