Blockchain-Driven Business Data Analytics: Transparent Transactions, Risk Governance, and Value Creation Across Digital Ecosystems
Main article
Abstract
Blockchain technology is reshaping how enterprises capture, govern, and extract value from business data. Whereas earlier research has framed blockchain primarily as a distributed-ledger substrate, this study positions it as the trust infrastructure of a new generation of business data analytics. A structured narrative review of 63 peer-reviewed sources published between 2015 and 2025 is combined with a comparative analysis of representative enterprise deployments to develop a four-layer conceptual framework that connects on-chain data acquisition, ledger validation, analytics intelligence, and strategic value delivery. The framework is examined through three intersecting lenses—transparency of transactions, governance of operational and model risk, and creation of stakeholder value—across seven digital ecosystems: finance, supply chain, healthcare, the Internet of Things, governance, digital identity, and record keeping. The analysis indicates that the analytics value of blockchain depends less on raw ledger throughput than on the integration of permissioned architectures, privacy-preserving cryptography, and intelligent oracles with enterprise governance routines. A composite adoption-maturity assessment of the seven ecosystems suggests that finance and supply chain are approaching production-grade deployment, while healthcare, governance, and digital-identity applications remain at intermediate maturity. The study concludes that transparent, governance-aware analytics rather than raw decentralisation will determine which blockchain deployments deliver sustained value for enterprises and their stakeholders. Findings provide a structured agenda for managers prioritising blockchain investments and for researchers studying the data-analytic affordances of distributed ledger technologies.
