DATA ANALYSIS AND VISUALIZATION OF AN ONLINE VOTING SYSTEM BASED ON BLOCKCHAIN TECHNOLOGY USING POWER BI

As part of the research work (IRN AP23489791), an online voting system based on blockchain technology was developed and implemented. This article is devoted to the methodology and practical application of the Power BI business intelligence tool for analyzing and visualizing data generated by this system. Using business intelligence tools such as Power BI to analyze data from blockchain voting systems is an important step to validate their performance, security, and transparency. The blockchain is a decentralized digital registry consisting of a chronologically ordered chain of blocks. In the context of electronic voting, these blocks contain transactions that can represent various operations: registration of voters and candidates, submission of votes, and counting of results.The key characteristics of the data in the blockchain that make them suitable for voting systems and subsequent analysis include: Immutability, transparency, decentralization, Traceability. Each transaction has a unique identifier and a timestamp, which allows you to track all transactions in the system.The work demonstrates how Power BI enables the transformation of complex and distributed blockchain data into visual and easily interpretable graphs and dashboards, which is critical for evaluating the performance, security and transparency of the voting system. Key metrics and visualizations are presented, and the process of integrating blockchain data with an analytical tool is described. The results confirm that using Power BI is an effective approach for validating and demonstrating the benefits of decentralized systems.