Application Prospects of Big Data and Artificial Intelligence in Business Decision-Making

Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i6.4633

Xun Wang

College of Foreign Languages, University of Shanghai for Science and Technology, Shanghai 200093, China

Abstract

With the deep development of the digital economy, big data and artificial intelligence technologies are reshaping enterprise business decision-making models. This paper systematically analyzes the core value of these two technologies in the field of business decision-making and explores their application paths in key scenarios such as customer relationship management, supply chain optimization, and financial analysis. The research finds that intelligent data processing provides enterprises with panoramic business insights, and machine learning algorithms significantly improve the accuracy and timeliness of complex decisions. Data-driven decision-making has achieved remarkable results in reducing operational costs, improving customer satisfaction, and optimizing resource allocation. Meanwhile, key challenges such as data security, technology costs, and talent development have been identified. Based on technology development trends and practical needs, this paper proposes strategic paths for building intelligent decision-making ecosystems, providing guidance for enterprise digital transformation.

Keywords

big data; artificial intelligence; business decision-making; digital transformation; intelligent analysis

References

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Copyright © 2025 Xun Wang

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