Blockchain Data Analytics For Dummies

Blockchain, data, and practical analysis in one guide

Blockchain Data Analytics For Dummies brings together two subjects that are often discussed separately: how blockchain works, and how its data can be used in real analytical work. Michael G. Solomon focuses on the practical side of the topic, making the book especially useful for readers who want to understand not just blockchain concepts, but what can actually be done with blockchain records, events, and transaction data.

The book starts with the basics of data-driven decision-making and blockchain technology, then moves into the kinds of information stored on-chain and how that information can be parsed, organized, and modeled. From there, it explores analytics in a business context, including clustering, classification, regression, and time-based analysis. Later chapters extend the discussion into implementation, frameworks, and third-party tools.

What the book covers

• How blockchain fits into modern data and analytics workflows
• Ways to identify useful blockchain data and map it to real-world activity
• Building analysis datasets from blockchain records
• Applying basic and advanced analytics models
• Using blockchain analysis to support business decisions
• Working with frameworks and tools for implementation

A good fit for

This ebook will appeal to data professionals, technically minded business readers, and blockchain-curious readers who want a grounded introduction with an analytics focus. It does not read like hype; it reads like a working guide to the questions organizations ask when they want blockchain data to do something useful.

If you are looking for a clear, structured introduction to blockchain analytics with a strong practical bent, this title deserves a place on your reading list.