FINANCIAL MANAGEMENT SYSTEM: INNOVATIVE BANK RECONCILIATION AND CREDIT MANAGEMENT INTEGRATION FOR STREAMLINED FINANCIAL OPERATIONS

Authors

  • Jerome Olvida
  • Kate Villan
  • Jasmene Joy Casido
  • Ramelyn Calupe
  • James Lawrence Panguito
  • Mr. Ronald Roldan Jr.

Keywords:

automation, credit management, bank reconciliation, financial software, transaction matching, exception handling, machine learning, advanced analytics, predictive capabilities, cash flow management, credit risk assessment, data integration, financial

Abstract

Financial Management System: Enhancing Bank Reconciliation and Credit Management for Streamlined Financial Operations  To optimize financial monitoring, mitigate credit risk, and ensure regulatory compliance, banks require an advanced Financial Management System (FMS). This capstone project focuses on integrating innovative bank reconciliation and credit management solutions within the FMS. By automating the matching of bank transactions with corporate records, the system enhances accuracy, minimizes errors, and reduces manual effort. This integration ultimately improves financial efficiency, streamlines operations, and strengthens overall financial control. The study adopted a multifaceted approach to data collection and analysis. Information was sourced from financial institutions, software vendors, and organizations utilizing financial management systems. Quantitative analysis measured efficiency and accuracy improvements through key metrics such as reconciliation time and error rates. Qualitative data was gathered via interviews and surveys, capturing user experiences and perceived benefits. Case studies provided insights into real-world applications, while comparisons with traditional systems identified strengths and areas for enhancement. Additionally, a risk analysis was conducted to assess fraud detection capabilities and regulatory compliance. Implementing an advanced financial management system with integrated bank reconciliation and credit management requires a strategic and systematic approach. The process begins with a thorough evaluation of existing financial systems and workflows to identify inefficiencies and areas for improvement. Clear objectives should be established, focusing on enhancing accuracy, minimizing manual errors, and optimizing financial operations. Selecting the right vendor is critical and involves extensive research and evaluation to ensure compatibility with the organization’s specific requirements. The system must be properly configured and customized for seamless integration with existing tools and workflows. Data migration should be carefully planned and executed to maintain data integrity and accuracy. Lastly, comprehensive training programs should be developed to equip employees with the necessary skills to effectively utilize the new system, ensuring a smooth transition and maximum efficiency. Automating credit management and bank reconciliation processes streamlines traditionally time-consuming tasks, reducing manual effort while enhancing accuracy and efficiency. By integrating with banking systems and financial software, organizations can optimize transaction reconciliation and credit risk management. Our platform serves as a hub for insights into advanced software solutions featuring automated data import, transaction matching, and exception handling. Leveraging advanced analytics and machine learning further enhances these processes by detecting patterns, identifying anomalies, and predicting future cash flows and credit risks. This technology-driven approach empowers businesses to make informed financial decisions and improve overall financial stability.

Published

2026-01-13

How to Cite

FINANCIAL MANAGEMENT SYSTEM: INNOVATIVE BANK RECONCILIATION AND CREDIT MANAGEMENT INTEGRATION FOR STREAMLINED FINANCIAL OPERATIONS. (2026). Ascendens Asia Singapore – Bestlink College of the Philippines Journal of Multidisciplinary Research, 6(1). https://ojs.aaresearchindex.com/index.php/aasgbcpjmra/article/view/16980

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