Author(s)

Manhua Yao ¹, Yonghan Qin ¹

Affiliation(s)

¹ Philippine Christian University, Manila, Philippine

Corresponding Author

Manhua Yao

ABSTRACT

In the increasingly competitive market, companies face enormous challenges in implementing strategies and development activities, which puts forward higher requirements for financial management. As an important means of managing and enhancing business value, the integration of business and finance has led to the restructuring and modernization of financial management functions, promoting the transition from basic accounting and corporate governance to supporting business value creation. This paper explains in detail the meaning of the industry finance integration model, the difficulty of implementation, the establishment of the database, and the implementation path. Then, from the perspective of timeliness of information, the Inventory turnover rate of the company's operation, and less cost and time, the experimental analysis is based on the role of Big data industry finance integration model in enterprise decision-making. The final experimental results show that the industry finance integration model based on Big data can effectively reduce the cost by 0.73 and the time by 0.75.

KEYWORDS

Enterprise Decision-Making, Big Data, Business Finance Integration Model, Financial Information

CITE THIS PAPER

Manhua Yao, Yonghan Qin, Application of Industry Finance Integration Mode Based on Big Data in Enterprise Decision-Making. Financial Engineering and Risk Management (2023) Vol. 6: 87-95. DOI: http://dx.doi.org/10.23977/ferm.2023.060711.

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