The current post periodicals subscription system is composed of some simple and isomerous information systems, which collects various data essential to income management. In fact, the system can't support data analysis due to its inefficiency in data processing.Data Warehouse and Online Analytical Processing became a focus in recent decision-making research. The thesis designs a periodical subscription analysis system based on a in-depth analysis of fund management, different incomes and quality of post subscription. Besides, the thesis gives a full description of R & D systematic data warehouse, module designs, and realization of all functions.The system based on Data Warehouse and Oline Analytical. This system integrated those systems and realize data processing, which will enhance the efficiency in data management, tap the full potentials of data, promote the efficiency of post subscription service, and therefore guide the effective decision-making of post subscription.The final result of R & D demonstrates the reasonable and effective system design that gives a feasible method in enhancing the post subscription management and providing a better service . |