TY - GEN
T1 - Automated System for Improving Audit Data Processing Through DAMA-DMBOK Best Practices and Low-Code
AU - Yen, Armando Ruiz
AU - Kapustin, Celso Valdes
AU - Burga-Durango, Daniel
AU - Tello-Saenz, Carlos Alberto
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - In the context of financial auditing, the efficient retrieval of accurate data, minimization of reprocessing efforts, mitigation of inherent risks in data processing, and improvement of information quality represent crucial objectives. In this regard, we present an automated system designed to optimize data processing in auditing. This system provides an automated assessment of the six data quality dimensions according to the DAMA model: completeness, reasonability, accuracy, uniqueness, validity, and consistency. This process is essential to determine whether data sources meet the necessary standards for use in various analytical processes. The tool was validated in the Wholesale Banking Management of Banco de Crédito del Perú, where it successfully analyzed 100% of data sources in the commercial credit audit, reducing the processing time of each source by 10 times. These results confirm that our software significantly contributes to improving data processing in the field of financial auditing. This system has proven to be effective and reliable in enhancing the overall efficiency and accuracy of financial audits.
AB - In the context of financial auditing, the efficient retrieval of accurate data, minimization of reprocessing efforts, mitigation of inherent risks in data processing, and improvement of information quality represent crucial objectives. In this regard, we present an automated system designed to optimize data processing in auditing. This system provides an automated assessment of the six data quality dimensions according to the DAMA model: completeness, reasonability, accuracy, uniqueness, validity, and consistency. This process is essential to determine whether data sources meet the necessary standards for use in various analytical processes. The tool was validated in the Wholesale Banking Management of Banco de Crédito del Perú, where it successfully analyzed 100% of data sources in the commercial credit audit, reducing the processing time of each source by 10 times. These results confirm that our software significantly contributes to improving data processing in the field of financial auditing. This system has proven to be effective and reliable in enhancing the overall efficiency and accuracy of financial audits.
KW - Automated system
KW - Data processing
KW - Financial auditing
KW - Low-code
UR - https://www.scopus.com/pages/publications/105001388610
U2 - 10.1007/978-3-031-83207-9_31
DO - 10.1007/978-3-031-83207-9_31
M3 - Contribución a la conferencia
AN - SCOPUS:105001388610
SN - 9783031832062
T3 - Communications in Computer and Information Science
SP - 434
EP - 444
BT - Advanced Research in Technologies, Information, Innovation and Sustainability - 4th International Conference, ARTIIS 2024, Revised Selected Papers
A2 - Guarda, Teresa
A2 - Portela, Filipe
A2 - Gatica, Gustavo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability 2024, ARTIIS 2024
Y2 - 21 October 2024 through 23 October 2024
ER -