Research Article

Blockchain and Big Data Integration in Financial Transparency: Explore How Combining Blockchain with Big Data Improves Transparency in Financial Reporting and Fraud Detection

Authors

Abstract

Financial transparency, accountability, fraud detection and accuracy of reporting are changing their meanings in the context of blockchain and big data. Big data is able to perform intensive analysis of regular large and complex financial data in real-time, whereas blockchain allows maintaining an immutable registry of financial transactions, which guarantees protection and traceability. Collectively, these technologies promote a higher level of trust, improve the reporting frameworks, and reinforce regulation. Their synergy could help financial institutions to detect abnormalities, reduce fraud, and enhance the quality of decisions. In addition, the combination provides better answers to international auditing standards, investor confidence issues, and conventional audit models constraints. The paper is a review and synthesis of the literature on the intersection of blockchain and big data, and how their combination can help the financial sector to become more transparent and accountable. Using 50 sources of secondary data, the review identifies the possible advantages and issues with these technologies in transforming the financial auditing and regulation, which ultimately leads to the creation of a safer, healthier, and more responsible financial system.

Keywords:

Data Integrity Financial Reporting Financial Transparency Fraud Detection

Article information

Journal

Journal of Economics, Business, and Commerce

Volume (Issue)

2(2), (2025)

Pages

129-134

Published

22-09-2025

How to Cite

Ahmed, W. (2025). Blockchain and Big Data Integration in Financial Transparency: Explore How Combining Blockchain with Big Data Improves Transparency in Financial Reporting and Fraud Detection. Journal of Economics, Business, and Commerce, 2(2), 129-134. https://doi.org/10.69739/jebc.v2i2.967

References

Achebe, V. C., Ilori, O., & Isibor, N. J. (2024). Enhancing Data Integrity and Legal Accountability: A Blockchain-Driven Approach to Corporate Fraud Risk Management. https://doi.org/10.62225/2583049X.2024.4.6.4328

Ahmad, Y. A. M. E., Jashari, B., Akbar, F. M., & Akbar, F. M. (2025). Future trends in fully automated service stations with autonomous vehicles (U.S. Patent Application No. 18/411,163). U.S. Patent and Trademark Office. https://patents.google.com/patent/US20250229806A1/en

Ahmed, S. (2025). Enhancing Data Security and Transparency: The Role of Blockchain in Decentralized Systems. International Journal of Advanced Engineering, Management and Science, 11(1), 593258. https://dx.doi.org/10.22161/ijaems.111.12

Almadadha, R. (2024). Blockchain Technology in Financial Accounting: Enhancing Transparency, Security, and ESG Reporting. Blockchains, 2(3), 312-333. https://doi.org/10.3390/blockchains2030015

Alzoubi, M. M. (2024). Investigating the synergy of Blockchain and AI: enhancing security, efficiency, and transparency. Journal of Cyber Security Technology, 1-29. https://doi.org/10.1080/23742917.2024.2374594

Bello, H. O., Idemudia, C., & Iyelolu, T. V. (2024). Integrating machine learning and blockchain: Conceptual frameworks for real-time fraud detection and prevention. World Journal of Advanced Research and Reviews, 23(1), 056-068. https://doi.org/10.30574/wjarr.2024.23.1.1985

Dashkevich, N., Counsell, S., & Destefanis, G. (2024). Blockchain Financial Statements: Innovating Financial Reporting, Accounting, and Liquidity Management. Future Internet, 16(7), 244. https://doi.org/10.3390/fi16070244

Guo, L., Chen, J., Li, S., Li, Y., & Lu, J. (2022). A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance. Digital Communications and Networks, 8(4), 576-587. https://doi.org/10.1016/j.dcan.2022.03.020

Hossain, M. Z. (2023). Emerging trends in forensic accounting: Data analytics, cyber forensic accounting, cryptocurrencies, and blockchain technology for fraud investigation and prevention. Cyber Forensic Accounting, Cryptocurrencies, and Blockchain Technology for Fraud Investigation and Prevention (May 16, 2023). http://dx.doi.org/10.2139/ssrn.4450488

Jubiter, F. (2025). Blockchain and Machine Learning Integration for Real-Time Fraud Detection in Fintech. International Journal of Emerging Trends in Computer Science and Information Technology, 539-548. https://doi.org/10.56472/ICCSAIML25-160

Kumbhar, V., Keskar, V., & Yarde, P. (2025). Synergy of Big Data and Blockchain for Secure Analytics Solution. In Fostering Machine Learning and IoT for Blockchain Technology: Smart Cities Applications (Volume 1, pp. 327-360). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-96-4078-2_12

Martinez, D., Magdalena, L., & Savitri, A. N. (2024). Ai and blockchain integration: Enhancing security and transparency in financial transactions. International Transactions on Artificial Intelligence, 3(1), 11-20. https://doi.org/10.33050/italic.v3i1.651

Muheidat, F., Patel, D., Tammisetty, S., Tawalbeh, L. A. A., & Tawalbeh, M. (2022). Emerging concepts using blockchain and big data. Procedia Computer Science, 198, 15-22. https://doi.org/10.1016/j.procs.2021.12.206

Nofel, M., Marzouk, M., Elbardan, H., Saleh, R., & Mogahed, A. (2024). From sensors to standardized financial reports: A proposed automated accounting system integrating IoT, Blockchain, and XBRL. Journal of Risk and Financial Management, 17(10), 445. https://doi.org/10.3390/jrfm17100445

Prokopenko, O., Koldovskiy, A., Khalilova, M., Orazbayeva, A., & Machado, J. (2024). Development of Blockchain Technology in Financial Accounting. Computation, 12(12), 250. https://doi.org/10.3390/computation12120250

Rahman, M. S., Hossain, M. S., Rahman, M. K., Islam, M. R., Sumon, M. F. I., Siam, M. A., & Debnath, P. (2025). Enhancing Supply Chain Transparency with Blockchain: A Data-Driven Analysis of Distributed Ledger Applications. Journal of Business and Management Studies, 7(3), 59-77. https://doi.org/10.32996/jbms.2025.7.3.7

Rane, N., Choudhary, S., & Rane, J. (2023). Blockchain and Artificial Intelligence (AI) integration for revolutionizing security and transparency in finance. SSRN, 4644253. http://dx.doi.org/10.2139/ssrn.4644253

Rijanto, A. (2024). Blockchain technology roles to overcome accounting, accountability and assurance barriers in supply chain finance. Asian Review of Accounting, 32(5), 728-758. https://doi.org/10.1108/ARA-03-2023-0090

Saleh, I., Marei, Y., Ayoush, M., & Abu Afifa, M. M. (2023). Big data analytics and financial reporting quality: qualitative evidence from Canada. Journal of Financial Reporting and Accounting, 21(1), 83-104. https://doi.org/10.1108/JFRA-12-2021-0489

Udeh, E. O., Amajuoyi, P., Adeusi, K. B., & Scott, A. O. (2024). The role of big data in detecting and preventing financial fraud in digital transactions. World Journal of Advanced Research and Reviews, 22(2), 1746-1760. https://doi.org/10.30574/wjarr.2024.22.2.1575

Zhou, H., Sun, G., Fu, S., Fan, X., Jiang, W., Hu, S., & Li, L. (2020). A Distributed Approach of Big Data Mining for Financial Fraud Detection in a Supply Chain. Computers, Materials & Continua, 64(2). 10.32604/cmc.2020.09834

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