This book offers a comprehensive guide to blockchain analytics, from foundational concepts to advanced applications, crafted for professionals, academics, policymakers, and students. It begins with an introduction to blockchain technology and analytics, highlighting the unique structure of blockchain data, collection methods, and distinctions from traditional databases. Analytical techniques are covered in depth, including statistical and machine learning methods, real-time analysis, and predictive modeling.

It contains numerous practical industry use cases that demonstrate how blockchain analytics transforms finance, supply chain, and healthcare, enhancing fraud detection, data security, and product verification. Sections on security and privacy address tools to protect blockchain data and manage risks, while global regulatory insights emphasize transparency and policy development. It provides actionable insights on emerging integrations with AI, IoT, and quantum computing.

As such, industry leaders will discover frameworks for integrating blockchain into business, while academics gain insights into the analytic methodologies that underpin blockchain technology. Policymakers and government officials can use this resource to develop policies promoting transparency and security. For students and educators, the book serves as an essential foundation in blockchain, data analytics, and fintech.

Helps organizations and governments leveraging blockchain for better decision-making and optimization Provides theoretical foundations in applying blockchain analytics to supply chain management, finance, and healthcare Introduces various blockchain applications

Autorentext

Professor Yu Xiong, FAcSS, is Chair Professor of Business Analytics in the Surrey Business School at the University of Surrey, UK and a Fellow of the Academy of Social Sciences (FAcSS), recognized for his distinguished contributions to research, innovation, and public policy engagement. A leading expert in blockchain, metaverse, artificial intelligence, and supply chain innovation, Professor Xiong has established himself as a prominent scholar at the intersection of technology and sustainability.

A thought leader at the intersection of blockchain and AI, Professor Xiong is also Co-Founder of Endless Protocol, a next-generation blockchain integrating artificial intelligence to promote decentralization, sustainability, and user empowerment.

He has authored over 100 publications in refereed academic journals and conferences. His paper on blockchain in Nature Communications is ranked #1 worldwide for impact among all academic articles featuring the keyword "blockchain", according to Altmetrics. Professor Xiong is widely recognized for bridging rigorous research with real-world innovation in emerging technologies.

Inhalt

Introduction to Blockchain Analytics.- The Background of Blockchain Analytics.- Powered DeFi- Exploring Adoption Drivers and Risk Challenges.- Mitigating Manipulation in Decentralized Incentive Mechanisms.- Blockchain Applications in Business Ecosystems.- Regulatory considerations for Decentralised Finance.- Web 3.0, Artificial Intelligence, and the Rise of the Passion Economy.- Blockchain Data, Architecture, and Analytics in the Context of Digital Commodities Trading.- Conclusion.