<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the banking industry, data accuracy and integrity are paramount for ensuring regulatory compliance, operational efficiency, and risk management. However, manual data validation processes often lead to delays, errors, and inefficiencies, posing challenges for financial institutions. To address these issues, many banks are turning to automation to streamline data validation processes and improve accuracy. Using data automation, banks optimize time-consuming manual tasks such as data entry, validation, and retrieval by creating automated software processes that execute these tasks quickly and accurately. This case study examines how a hypothetical bank uses automation to improve data validation processes, focusing on Albanian Identity Numbers (AINs). By automating validation tasks, the bank enhances accuracy, compliance, and efficiency, mitigating the limitations of manual processes. The study outlines the implementation steps, discusses results, and highlights the importance of automating data validation in the banking sector.</p>
</abstract>

In the banking industry, data accuracy and integrity are paramount for ensuring regulatory compliance, operational efficiency, and risk management. However, manual data validation processes often lead to delays, errors, and inefficiencies, posing challenges for financial institutions. To address these issues, many banks are turning to automation to streamline data validation processes and improve accuracy. Using data automation, banks optimize time-consuming manual tasks such as data entry, validation, and retrieval by creating automated software processes that execute these tasks quickly and accurately. This case study examines how a hypothetical bank uses automation to improve data validation processes, focusing on Albanian Identity Numbers (AINs). By automating validation tasks, the bank enhances accuracy, compliance, and efficiency, mitigating the limitations of manual processes. The study outlines the implementation steps, discusses results, and highlights the importance of automating data validation in the banking sector.

Automation of Data Validation Processes in Banking: A Case Study on Validating Albanian Identity Numbers

Faculty of Information Technology, University of Tirana

SEEU Review

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the banking industry, data accuracy and integrity are paramount for ensuring regulatory compliance, operational efficiency, and risk management. However,...

Automation of Data Validation Processes in Banking: A Case Study on Validating Albanian Identity Numbers

Publié en ligne: 26 juin 2024

Pages: 51 - 64

DOI: https://doi.org/10.2478/seeur-2024-0022

Mots clés
Data validation, Banking Automation, Data Accuracy, Rule-Based Validation, Drools Engine, Operational Efficiency

© 2024 Brunela Karamani., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Automation of Data Validation Processes in Banking: A Case Study on Validating Albanian Identity Numbers

Publié en ligne: 26 juin 2024

Pages: 51 - 64

DOI: https://doi.org/10.2478/seeur-2024-0022

Mots clésData validation, Banking Automation, Data Accuracy, Rule-Based Validation, Drools Engine, Operational Efficiency

© 2024 Brunela Karamani., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Data validation, Banking Automation, Data Accuracy, Rule-Based Validation, Drools Engine, Operational Efficiency