The role of data mining in the product design and development process

A structure of data mining to discovery the inflow resources of product innovation is introduced in this paper. The structure incorporates data mining technique into the new product innovation and development phase. In order to predict product development and marketing trends easily, the product design architecture-based analysis method developed and presented in this article uses the decision tree model. Technologies of knowledge management such as data warehousing, data mining apply to product innovation that can gain a competitive advantage. Particularly, the extraction of hidden predictive information from large database by using data mining technique can identify valuable customers, predict future market, enhance product innovation efficiency and enable firms to make knowledge-driven decisions. Product design is a complex process, requiring many design factors and knowledge areas to be considered simultaneously. Enterprises are realizing how important it is to "know what they know" and be able to make use of the vast amounts of knowledge in the recent years. When the life-cycle of a product is getting shorter and shorter, manufacturer and designer should reduce cost to keep competitive advantages. So, it is very important to develop effective methods and tools for product design. The research focuses on building the structure of data mining to fit a new product's innovative design and development process, and adopts the decision tree model to predict trends easily