Author(s)

Bowen Ma ¹

Affiliation(s)

¹ Tencent Technology (Shenzhen) Co. Ltd, Shenzhen, Guangdong, 518000, China

Corresponding Author

Bowen Ma

ABSTRACT

In the current digital era, business data analysis has become a key basis for enterprise decision-making. With the continuous expansion of data scale and the increasing complexity of business requirements, traditional data analysis methods are gradually revealing their limitations. The emergence of large models has brought new opportunities for intelligent business data analysis. Their powerful computing capabilities and intelligent algorithms can deeply mine the potential value in the data and provide more accurate and efficient decision support for enterprises. Systematically exploring the methods, advantages, challenges and coping strategies of large model-driven intelligent business data analysis can provide useful references for enterprises to enhance their data analysis capabilities during digital transformation.

KEYWORDS

Large model; Intelligence; Business data analysis

CITE THIS PAPER

Bowen Ma, Research on Intelligent Business Data Analysis Methods Driven by Large Models. Information and Knowledge Management (2025) Vol. 6: 22-27. DOI: http://dx.doi.org/10.23977/infkm.2025.060104.

REFERENCES

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