Construction of Logistics Management Data Warehouse Model Based on Deep Data Mining

Construction of Logistics Management Data Warehouse Model Based on Deep Data Mining

연구 분야: Databases

학회: 2023 International Conference on Telecommunications, Electronics and Informatics (ICTEI)

In recent years, business activities have become more and more complicated, economic globalization is overwhelming and competition is intensifying. Business managers are eager to get more information to improve their competitiveness and bottom line. The starting point of logistics information analysis is to analyze users’ needs, and use the stakeholder theory for reference to divide logistics information analysis stakeholders into core stakeholders, secondary stakeholders and marginal stakeholders. The computer does provide a lot of information to support daily work, but unlike this information, managers need ready-made information that can be used to make strategic decisions. Although these operational systems are important, they cannot provide strategic information.Firstly, dynamic data mining is analyzed, which can effectively mine the information that users are interested in. Then, the framework of logistics information analysis model is designed. Finally, the design of logistics information analysis model and database is realized. As the only feasible scheme to provide strategic information, data warehouse has become the focus of research and application in the field of information technology. As one of the core problems of data warehouse, the research degree of data model determines the success or failure of data warehouse construction to a great extent.