Analysis And Application Of The Jewelry Sales’ Data Based On Data Mining

With the development of economic, the people’s living standard is increasingday by day, and the demands of the jewelry are getting more and more serious.Facing a lot of business data, how to statistic effectively and analysis scientific inorder to provide the decision support for purchasing goods and sales plans isbecoming more and more important. It is a big problem for jewelry’s company. Thisthesis takes Baoruiyuan Management Information System as the foundation, makesa deep analysis of the sales’ data with data mining technology, finds the market rulesfrom the much large and complex data, finally provide decision support for thecompany.Main works of the thesis are as follows:(1) The data mining’s applications in sales are analyzed in detail. The model of datamining, tools and data mining process are in depth discussion.(2) Market jewelry sales data are analyzed in detail. The requirements and design ofBaoruiyuan data analysis system are given.(3) Considering the characteristics of jewelry sales’ data, we choice three models ofSQL Server Analysis Service. They are used in the jewelry sales’ data, thejewelry inventory data and the membership information respectively. MicrosoftTime Serious is used in the jewelry sales’ trend forecasting. Microsoft Clusteringis used in the jewelry inventory data’s classification. Microsoft Association isused in the association with members and products.(4) The control called ADOMD.NET is used in the system. It’s used to show theresults of the data mining. The jewelry sale trends are drawn. We can strengthenthe sales’ analysis, and also help the company make a decision.