Research Of Data Warehouse Model Application To Logistics Information

In recent years, commercial activity has become increasingly complex, economic globalization is unstoppable, competition is becoming increasingly acute, and business managers keen to get more information to improve competitiveness and the bottom line. The computer system does provide a lot of information to support the daily work, but with different information, managers' need is strategic decision-making information. These operators type system has been improved, but can not provide the information of strategic significance. Therefore, commercial companies can be forced to access strategic information to find a new method. Data warehouse, as part of the only viable strategic information program, becomes hot spots of a field of information technology research and application. The data warehouse data model as one of the key issues, the extent of its research, to a large extent determines the success or failure of building data warehouses.In response to these needs, this article summarizes the basic data warehouse information, the recent analysis of the data warehouse concept model., and put forward a Similar Earth Model (SEM) of data warehouse concept, describe its main structure, give out the valuation to this model, and put the model into a sales fact example .It reflects a clear, multilayered expression ability, a certain degree of flexibility to the level of irregular relations and a greater scalability of the model. At the same time, this article uses this model to abstract theme of the data warehouse information from the third-party logistics intelligent management system, blending into a logistics data warehouse information model. Then, it uses multi-dimensional data modeling technology to improve a logistics data warehouse information model. Finally, it uses Oracle Warehouse Builder to make the Logistics Information Data Warehouse Model Construction and Operation Analysis.Logistics Information Data Warehouse model's successful construction and operation, provides a good analysis environment for Data Mining of the logistics theme. At same time, it has further verified reliability of SEM.