Blockchain Analytics

Blockchain analytics is the process of collecting, processing, and interpreting data recorded in distributed ledgers. Unlike traditional financial systems, where transactions are hidden within closed databases, blockchain provides a transparent and immutable source of information that can be analyzed in real time. With blockchain analytics, it is possible to track digital asset flows, detect suspicious transactions, analyze user behavior, and assess the economic activity of decentralized systems. This is achieved using machine learning algorithms, graph structures, and specialized visualization tools that uncover relationships between addresses and network events.