Research on the Construction of Enterprise Project Cost Management Optimization Framework Based on Business Intelligence
Year: 2025
Type: conference-paper
Abstract: In the increasingly fierce market competition and complex and changeable business environment, the importance of enterprise project cost management has become increasingly prominent, which is directly related to the profitability and market competitiveness of enterprises. However, in the practical application process, the traditional project cost management methods used by most enterprises have obvious shortcomings in data analysis and processing ability, project adaptability, estimation and control effect, and it is difficult to support the practical application needs of enterprises. In this regard, this paper will deeply analyze the application feasibility of business intelligence technology (BI) in this field, and put forward a brand-new optimization framework of enterprise project cost management, aiming at improving the efficiency and accuracy of enterprise project cost management. Practice has proved that the overall framework will cover the data integration, analysis and visualization capabilities of BI technology and the nonlinear mapping and learning capabilities of BP neural network, which can help enterprises extract valuable information from massive data, provide comprehensive and accurate data support for cost management, and complete the modeling and prediction of complex data relationships, thus improving the level of project cost management and decision-making level.
Authors: Qiang Hao, Joey S. Aviles
Institution: Angeles University Foundation
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4416539656