The Application Of Data Visualization And Data Mining Technology In Operating Analysis Of Small And Medium-Sized Enterprises

With the development at full speed of the global economy, the business information of Enterprises is increasing constantly, and the quantity of data information is proliferating at a tremendous rate. However, the data for the enterprise is very valuable. It is face to us that how the Enterprise to get valuable knowledge from the great quantity of data information to guide their business behaviors. Multi-dimension data visualization technology which based on on-line analytical processing, and data mining technology are the most important methods used by enterprises for acquiring database knowledge, but it is difficult for implement in the enterprises as their disadvantages.This article is focus on how to integrate OLAP and Data Mining together, solve the limitations of both when practical application in the enterprise, and use their for business analysis. The structural designing theory of multi-dimension data mining model based on OLAP is presented based on requirement of operating analysis in detail. There are tow steps for this process: first, find the mining space by multi-dimension structure of OLAP. Second, determine the mining algorithm by neural network; The OLAP analytical contents and methods are studied, the structural frame theory of data warehouse system accord with business rules is presented, design and implement OLAP platform based on BIEE (Business Intelligence Enterprise Edition) and research the optimizing solution for the platform. The platform has the features of combines the date warehouse techniques, multi-dimension on-line analytical processing and data mining techniques; introduces how to build the multi-dimension neural network, determine the mining space by multi-dimension structure of OLAP, and work out the input influence by weight matrix of neural network, resolves the problem of unclear results by OLAP analysis as too much dimension members; Verify the advantages of multi-dimension data mining model based on OLAP by practical operation analytical application, enterprises can get valuable knowledge from the great quantity of data information to guide their business behaviors, meet the practical needs for operating analysis.