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Research on the Application of Business Analytics in Enterprise Financial Performance Forecasting

Author(s)

Haoyi Xiong

Affiliation(s)

Bachelor of Science Accounting and Finance, Oxford Brookes University, Oxford, United Kingdom

Abstract

This paper explores the application of business analytics in enterprise financial performance forecasting. By analyzing the core concepts, methods and role of business analytics in financial forecasting, it reveals its importance in improving forecast accuracy and optimizing resource allocation. Studies have shown that business analytics techniques, including data mining and forecasting models, can efficiently process financial data and support financial decision-making of enterprises. In addition, this paper summarizes the current application status of business analytics tools in actual financial forecasting, and demonstrates its actual effect in improving corporate financial health assessment and performance optimization through typical cases. Despite challenges such as data quality and model interpretability, the application of business analytics in the field of financial performance forecasting has gradually deepened, providing reliable support for enterprises to achieve more accurate financial forecasts in a dynamic market environment. By combining multi-dimensional data and automation technology, business analytics helps to enhance the strategic decision-making ability and market adaptability of enterprises.

Keywords

Business Analytics; Financial Performance Forecasting; Data Mining; Decision Support

References

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