Data Mining Applied Research In New Product Development

The strong competitive situation of the telephone trade makes enterprise face more complicated living environment than before. To enhance the competitiveness and meet the needs of market, Enterprises needs to develop new products continuesly, shorten the life cycle and improve the selection ability to the new product development project. Therefore, Enterprises not only need more accurate understanding of market demand and the competitor's developing state as soon as possible, but also evaluate the comprehensive benefits of new product development candidate,which can select the best programs from many of the candidate..In this paper, take the smart phones development In X Enterprise for examples, Proposed the new thinking that using the data mining technology for enterprises to develop new product and provide decision support, the main work is as follow:1) On the basis of understanding the knowledge of the new phone-product development, and combined with the theory of the data warehouse and data mining. Analyzes the objective and application requirements of data mining technology in new phone product development decision support system and design the framework and functional. Module in development decision support system2) According to the process of data mining, Design the datamarts that suit for new phone-product development decision support system, and take the example of mobile performance data, time to market data, sales date and price data for example, introduce the data processing from the source-data to datamarts and to fit the data mining technology.3) Analyzes the sales data of the enterprise's existing phone-products through using decision tree, want to find out the impact of sales and achieve sales forecast for new phone product.4) Analyzes the product features of competitors'through using cluster, want to find out the common characteristics about phone product in certain sales scope.5) Evaluate the comprehensive benefits of new product development candidate through fuzzy comprehensive evaluation method, improve the ability of choosing the best of a number of new phone product program.