Acceso usuarios
Siqi Huang, Eunmi Lee
With the accelerated development of globalization and digitization, private enterprises are increasingly focusing on expanding international markets. In this context, international business intelligence (BI) business has become an indispensable part of private enterprises. Machine learning algorithms, with their powerful data processing and analysis capabilities, provide strong support for the international business intelligence business of private enterprises. This article will take private enterprises as an example to explore the impact of machine learning algorithms and Bayesian dynamic panel models on their international business intelligence business work. The Bayesian dynamic panel model combines time series data and cross-sectional data to comprehensively analyze the performance of private enterprises in the international market. By automating the analysis and processing of large amounts of data, machine learning algorithms and Bayesian dynamic panel models can quickly provide valuable business insights, helping enterprises make quick decisions. Private enterprises can more accurately grasp market dynamics and consumer demands, optimize marketing management strategies and product development, and provide strong support for international transformation.
