Cash Flow and Working Capital Optimization Using Oracle Fusion ERP/EPM Data
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V2I4P109Keywords:
Cash Flow Management, Working Capital Optimization, Oracle Fusion ERP, Oracle Fusion EPM, Financial Analytics, Cash Conversion Cycle, Enterprise Performance Management, Liquidity ForecastingAbstract
The financial sustenance and competitiveness of the modern business depends on its capacity to manage its cash flow and utilize its working capital in the most efficient way. The need and preference of organizations to provide real-time financial visibility and predictive decision-making have driven the requirement of integrated enterprise systems, especially in this time and age, when markets are volatile, business cycles are shorter and stakeholder expectations are high. This study examines an all-encompassing structure of cash flow and working capital optimization involving transaction and analytics information based on the Oracle Fusion ERP and Oracle Fusion EPM systems. Oracle Fusion ERP offers a single operational hub that includes the accounts receivable, accounts payable, general ledger, procurement, and inventory management, whereas Oracle Fusion EPM supports superior financial planning, forecasting, modelling, and performance analytics. With the integration of such systems, the enterprises can turn unprocessed financial transactions into actionable insights which will help with the liquidity planning, working capital optimization, and strategic cash forecasting. The proposed methodology utilizes the historical transaction information, real time operational metrics and the use of scenario-based financial models to enhance cash conversion efficiency and liquidity risk reduction. The purpose of the paper is to outline a systematic analytical model that takes into consideration data extraction, data normalization, key working capital measure calculation, and forecasting cash flow. There are mathematical formulations of cash conversion cycle (CCC), days sales outstanding (DSO), days payable outstanding (DPO), and days inventory outstanding (DIO) which are used in the Oracle Fusion environment. The study also shows how a driver-based planning, rolling forecasts, and variance analysis could be operationalized in Oracle Fusion EPM to aid in making proactive financial decisions. Presented in the form of percentage-based performance comparisons, the empirical results have shown that the cash flow stability, receivables efficiency, inventory turnover, and the optimization of supplier payment have been measured to have improved after the system integration. There are the findings of strategic value of ERP convergence with EPM that boosts financial agility, governance, and resiliency. In the study, the conclusion provides the research challenges of implementation, best practices, and research directions in the future of intelligent finance and advanced analytics-supported working capital management.
References
[1] Deloof, M. (2003). Does working capital management affect profitability of Belgian firms?. Journal of business finance & Accounting, 30(3‐4), 573-588.
[2] Juan García‐Teruel, P., & Martínez‐Solano, P. (2007). Effects of working capital management on SME profitability. International Journal of managerial finance, 3(2), 164-177.
[3] Davenport, T. H. (2000). Mission critical: realizing the promise of enterprise systems. Harvard Business Press.
[4] Sutton, S. G. (2006). Enterprise systems and the re-shaping of accounting systems: A call for research. International journal of accounting information systems, 7(1), 1-6.
[5] Hunton, J. E., Lippincott, B., & Reck, J. L. (2003). Enterprise resource planning systems: comparing firm performance of adopters and nonadopters. International Journal of Accounting information systems, 4(3), 165-184.
[6] Nicolaou, A. I., & Bhattacharya, S. (2006). Organizational performance effects of ERP systems usage: The impact of post-implementation changes. International journal of accounting information systems, 7(1), 18-35.
[7] Myers, S. C., & Majluf, N. S. (1984). Corporate financing and investment decisions when firms have information that investors do not have. Journal of financial economics, 13(2), 187-221.
[8] Scapens, R. W., & Jazayeri, M. (2003). ERP systems and management accounting change: opportunities or impacts? A research note. European accounting review, 12(1), 201-233.
[9] Eckerson, W. W. (2010). Performance dashboards: measuring, monitoring, and managing your business. John Wiley & Sons.
[10] Otley, D. (1999). Performance management: a framework for management control systems research. Management accounting research, 10(4), 363-382.
[11] Cokins, G. (2009). Performance management: Integrating strategy execution, methodologies, risk, and analytics. John Wiley & Sons.
[12] Wouters, M., & Wilderom, C. (2008). Developing performance-measurement systems as enabling formalization: A longitudinal field study of a logistics department. Accounting, organizations and society, 33(4-5), 488-516.
[13] Trkman, P., McCormack, K., De Oliveira, M. P. V., & Ladeira, M. B. (2010). The impact of business analytics on supply chain performance. Decision support systems, 49(3), 318-327.
[14] Gupta, M., & Kohli, A. (2006). Enterprise resource planning systems and its implications for operations function. Technovation, 26(5-6), 687-696.
[15] Poston, R., & Grabski, S. (2001). Financial impacts of enterprise resource planning implementations. International journal of accounting information systems, 2(4), 271-294.
[16] Bhattacharya, H. (2014). Working capital management: Strategies and techniques. PHI Learning Pvt. Ltd..
[17] Zhu, Z. (2006). A systems approach to developing and implementing an ERP financial subsystem. Systems Research and Behavioral Science: The Official Journal of the International Federation for Systems Research, 23(2), 237-250.
[18] Balogh, J., & Kolawole, S. (2017). Enterprise Performance Management and Best Practices in Business Planning and Advanced Analytics. Global Business Intelligence, 127-145.
[19] Kumar, G., Basri, S., Imam, A. A., Khowaja, S. A., Capretz, L. F., & Balogun, A. O. (2021). Data harmonization for heterogeneous datasets: a systematic literature review. Applied Sciences, 11(17), 8275.
[20] Beheshti, H. M., & Beheshti, C. M. (2010). Improving productivity and firm performance with enterprise resource planning. Enterprise Information Systems, 4(4), 445-472.
[21] Galy, E., & Sauceda, M. J. (2014). Post-implementation practices of ERP systems and their relationship to financial performance. Information & management, 51(3), 310-319.
[22] Shen, Y. C., Chen, P. S., & Wang, C. H. (2016). A study of enterprise resource planning (ERP) system performance measurement using the quantitative balanced scorecard approach. Computers in industry, 75, 127-139.
