Data Integration with Open Finance for Personal Financial Management
Abstract
The amount of financial institutions combined with the diversity of platforms and applications of these institutions make personal financial control increasingly challenging. Customers with multiple bank accounts, often in different financial institutions, have their financial information very dispersed, making it difficult to consolidate and analyze their own data. The objective of this work is to build a data engineering pipeline for integrating real financial data of an individual in more than one financial institution based on the Open Finance standard. A mobile application prototype was developed to display the integrated data.References
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Buckley, R., Arner, D., and Barberis, J. (2016). The evolution of fintech: A new post-crisis paradigm? Georgetown Journal of International Law, 47:1271–1319.
Doan, A., Halevy, A., and Ives, Z. (2012). Principles of Data Integration. Morgan Kaufmann.
He, W. and Xu, L. D. (2014). Integration of distributed enterprise applications: A survey. IEEE Transactions on Industrial Informatics, 10(1):35–42.
Nwokeji, J. and Matovu, R. (2021). A Systematic Literature Review on Big Data Extraction, Transformation and Loading (ETL).
Pluggy (2024). Pluggy. [link] [Acesso em: 18 de mai. de 2024].
Reis, J. and Housley, M. (2022). Fundamentals of Data Engineering: Plan and Build Robust Data Systems. O’Reilly.
Xavier, C. A. G., de Almeida, D. A., and Auler, N. V. (2024). Finnish smart personal financial management by leveraging machine learning and the open banking api. USP - Trabalho de Conclusão de Curso.
Published
2025-04-23
How to Cite
BARROS, Lucas Martins de; RIBEIRO, Helena Graziottin.
Data Integration with Open Finance for Personal Financial Management. In: REGIONAL DATABASE SCHOOL (ERBD), 20. , 2025, Florianópolis/SC.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 119-128.
ISSN 2595-413X.
DOI: https://doi.org/10.5753/erbd.2025.7373.
