Employability Of The Data Analysis Algorithms In Developing A Smart Enterprise Financial Information Management System

Janhvi Garg

Vol. 7, Issue 1, Jan-Dec 2021

Page Number: 262 - 271

Abstract:

New issues that require attention include how accounting and financial management can be more closely integrated with all facets of business production and operation, as well as how to use contemporary information management tools to improve the accuracy, speed, and smoothness of financial information delivery to the appropriate decision-making level and reduce financial risks. This work aims to study the enterprise financial information management system using data analysis techniques. The functional module design was implemented using SQL Server 2008 and the effective and straightforward JSP technology. During the design of this paper, the BP neural network algorithm is analysed to evaluate and analyse the asset management in the financial management process, which effectively realises the intelligence of the financial management system.

References

• Bhaskar, K., Mohan, C. K., Lingam, M., Reddy, P. V., Venkateswarlu, V., Rao, M. Y., ... & Ravichandran, V. (2009). Development of SLN and NLC enriched hydrogels for transdermal delivery of nitrendipine. vitro, ex-vivo, 98-113.
• Sundaram, A., & Ramesh, G. P. (2020). Investigation of solar based SL-QZSI fed sensorless control of BLDC motor. In Intelligent Computing in Engineering: Select Proceedings of RICE 2019 (pp. 779- \787). Springer Singapore.
• A. A. Khajehnasiri, Mozhdeh Afshar Kermani, Reza Ezzati: Chaos in a fractional-order financial system. Int. J. Math. Oper. Res. 17(3): 318- 332 (2020)
• Salim Lahmiri, Stelios D. Bekiros, Anastasia Giakoumelou, Frank Bezzina: Performance assessment of ensemble learning systems in financial data classification. Intell. Syst. Account. Finance Manag. 27(1): 3-9 (2020)
• Shivshanker Singh Patel: Forecasting health of complex IT systems using system log data. J. Bank. Financial Technol. 4(1): 27-35 (2020).

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