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Artificial Intelligence and Big Data Dual-Engine Approach to Value Creation in Intelligent Enterprise Portals

In: Proceedings of the 13th International Conference on Business, Accounting, Finance and Economics (BAFE 2025)

Author

Listed:
  • Yiting Zhao

    (Gui Yang University, Faculty of Economics and Management)

  • Mingding Zhou

    (Gui Yang University, Faculty of Economics and Management)

Abstract

Against the backdrop of rapid digital economic development, enterprise digital transformation has emerged as a key driver of enhanced core competitiveness. However, continuous challenges such as “data silos,” fragmented workflows, and disjointed management perspectives in traditional information technology architectures significantly prevent operational efficiency and cross-departmental collaboration. This paper discusses the value-creation pathway of building an intelligent enterprise portal driven by the dual engines of artificial intelligence and big data. By integrating systems such as Customer Relationship Management and Enterprise Resource Planning, the portal enables seamless data flow and process coordination. And it also addresses inefficiencies in cross-functional operations and data barriers. On the one hand, artificial intelligence allows intelligent analytics and forecasting. Besides, big data supports comprehensive data integration and in-depth mining. Together, they improve the transition from a “function-oriented” to an “intelligence-oriented” enterprise model. Using a case study of a foreign trade company, the paper elaborates on Porta-L’s applications in customer management, sales process optimization, and resource allocation. And it highlights its comprehensive value in fostering organizational coordination, improving decision-making precision, and strengthening corporate competitiveness. The study provides a practical framework for digital transformation, emphasizing the critical role of artificial intelligence and big data in building an efficient, intelligent, and integrated digital service ecosystem. This study focuses on the foreign trade enterprise, and the applicability of its conclusions to other sectors remains to be verified. Additionally, it falls short in addressing practical issues such as organizational readiness for technology implementation and the barriers to adoption for small and medium-sized enterprises.

Suggested Citation

  • Yiting Zhao & Mingding Zhou, 2025. "Artificial Intelligence and Big Data Dual-Engine Approach to Value Creation in Intelligent Enterprise Portals," Advances in Economics, Business and Management Research, in: Thurai Murugan Nathan & Abdelhak Senadjki & Hemaniswarri Dewi Dewadas & Siti Nur Amira Othman & Ravi (ed.), Proceedings of the 13th International Conference on Business, Accounting, Finance and Economics (BAFE 2025), pages 53-71, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-968-1_6
    DOI: 10.2991/978-94-6463-968-1_6
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