Design And Implementation Of Competitive Product Analysis System Based On Business Intelligence

With the rapid development of domestic economy,a large number of brand enterprises have begun to sprout and develop,and the competition among these enterprises is increasingly fierce.Decisions of sales is one of the important factors that can influence the competitiveness of enterprises.In order to enhance the decision-making level and high competitiveness,enterprises require the understanding of competitors and their products in the market dynamics,and competing goods analysis is required to guide research and development and the improvement of their products.Due to the comprehensive popularization of enterprise information,a large amount of data is managed every day.The development of the Internet and e-commerce has also led to massive data information in the network.Valuable information is often hidden behind complex and diverse data.The enterprise needs to be able to analysis of these data fully,accurately and intelligently,and to dig out the useful information for the enterprise to develop personalized product marketing strategy,so the enterprise can win advantages in the fierce market.Business intelligence is an important component of enterprise informatization,which is a series of methods,techniques and software to improve the performance of enterprise.It is the application of advanced information technology to the whole enterprise,by applying the technology of data warehouse,ETL,OLAP,data mining technology,information visualization technology in information analysis and mining,and can promote the development of the company sales.Therefore,the application of business intelligence theory in competitive analysis can provide accurate,intelligent and credible data service for decision making of enterprise.The paper designs and realizes a competing goods analysis system based on business intelligence solution base on the actual needs of an enterprise.The system can use Scrapy crawler frame network to get data,establish data warehouse management enterprise of large amounts of data and combining OLAP and neural network prediction for brands and products to the market to conduct a comprehensiveand detailed analysis.This can help enterprises know about new products,the development of the products and iteration,provide data support to make sales strategy and improve the product benefits.