The Sales And Distribution System Based On Data Mining Techniques

At present, enterprises and institutions use a large amount of computer, information construction, along with the information construction, have completed the basic hardware and basic application system construction, with the business units to migrate to the computer system, each enterprises have accumulated a large amount of data, including historical data, business data, industry data.These data storage, storage in the need for some human also need sustained capital investment, and with the application and the rapid development of business, the business data is still a large number of production, historical data is increasing, so how in a large number of business data we get the useful information, including the information that exists between the on business has a crucial impact on some relations, let these historical data to be efficiently reasonable use up, from the package into useful resources, as a new subject in front of us.It is in this major premise, a lot of the corresponding concept was proposed, related technology has produced, such as: the database, data warehouse, data modeling, data mining, data cleaning. The Sales and Distribution System is the system using these technologies according to the customer's business needs, establish forecast customer behavior model, to help customers from massive disorderly data mining the useful information, and provide scientific data, assist users to finish the large volume of data extraction, data conversion, data loading, to enterprises and institutions and decision-making provide important scientific basis.This article is in the full study of the tobacco business enterprise general operation rule, and combines the working experience of the author, in the full understanding of the tobacco industry business on the basis of demand, and according to the development of computer technology, appropriate to add some prospective design, on this basis put forward the rational business logic model, and put the logic model is converted into a physical model, the business data to establish the actual correspondence between, and actual use in tobacco industry enterprises, increase the tobacco enterprises operating efficiency, improve scientific decision level.At the same time this paper also on the current database, data warehouse, data mining, business intelligence, current status and future trend of development to make a simple introduction, elaborates on the concept at the same time, also put their areas of application, application fields, each kind of technology's advantages and disadvantages of doing a simple summary. Describes the technology in the tobacco industry in the new application and applied significance; at the same time on tobacco industry database, data warehouse, the use of Sales and Distribution system to manage the customer, staff management, improve the level of office automation and the theory and method to conduct in-depth study, the tobacco industry using data mining technology to refine the science of historical data, science support for the decision-making enterprises to provide a practical method and scientific theory basis.