Launched! SunwayWorld's book "Data Asset Management System, Methods and Practices" was officially published###
Recently, the book "Data Asset Management System, Methods and Practices", jointly edited by a number of experts from SunwayWorld, was officially published.
Mr. Jin Zhen, the editor-in-chief of this book, is currently the chairman and general manager of SunwayWorld. He has been deeply involved in the field of data asset management for many years, leading the research and development of the company's data asset management platform, participating in the formulation of a number of national standards, and has been employed as a member of the National Information Classification and Coding Standardization Technical Committee, a member of the National Electronic Business Standardization Technical Committee, and a member of the National Quality Supervision Key Product Inspection Method Standardization Technical Committee. He is a member of the Information Technology Application Committee of the Chemical Industry and Engineering Society of China.
As a practical tool book that comprehensively focuses on the data asset management system, methods and practices, this book is a summary of the experience and knowledge accumulated by the writing team in the past ten years of data asset management consulting, as well as the condensation of important achievements of years of painstaking exploration and research.
Focusing on the core logic of data asset empowerment business development, this book expounds the conceptual connotation and theoretical system of data asset management, and combines the typical methods, tools and practical cases of enterprise data asset management to conduct in-depth discussions on the activities, functions, safeguard measures, and practical steps of data asset management, so as to help practitioners engaged in data asset consulting, enterprises that are implementing digital transformation, managers responsible for information construction, and IT engineers and related majors have a better understanding and grasp of the process of data capitalization.
The book analyzes various concepts and categories of data assets, and discusses the content of data asset management from five aspects: background and concept, content and method, product and tool, path and case, development and prospect, and discusses the practical process, strategy and influencing factors of data assets. The content theory and practice are combined, the explanation logic is clear, vivid and interesting, and it provides a practical and convenient workbook and practical plan for the majority of readers.
Chapter 1 provides an overview of the definition and connotation of data asset management, the focus of data asset management, the development trend of data asset management, and the marketization prospect of data elements. Chapter 2 introduces the data asset management system, covering the basic principles of data management organization, strategic mechanism, guarantee organization, and operation system, and involves data inventory, data development, data quality, data security, data services, and data value. Chapter 3 introduces the collection, storage, computing, modeling and other technologies of popular data assets, expounds the capabilities of data asset platform tools, involving metadata, data standards, data security, data quality, master data, data modeling, data integration, data labeling, data science, data sharing and openness, etc., and analyzes the technical routes of data base and data middle platform governance. Chapter 4 mainly introduces the specific implementation strategy and path selection, top-level architecture planning and design, data asset operation and implementation, etc., introduces cases of data assetization in the fields of manufacturing, finance, retail, real estate, science, education and culture, and involves data governance in smart cities, providing readers with professional, rich and credible implementation examples. Chapter 5 introduces the development pattern of the digital economy led by the national data strategy, and discusses the development trend of data asset management from the aspects of management objects, management concepts, technical architecture, and operation models.
This book not only analyzes at the theoretical level, but also summarizes practical experience, which can provide specific solutions and tool manuals for data asset consulting practitioners, digital transformation enterprises, information construction managers, IT engineering and technical personnel, and teachers and students in related majors, as well as a methodological reference for data asset practitioners.