Using Data Mining in Quality Function Deployment to Facilitate Software Design for Communications

摘要

The satisfaction of customer needs is critical issue for communication software designers and companies, because communication software design is a high risk and value-added technology. On the other hand, data mining from large database has been successfully applied in a number of advanced fields. However, little study has been done in the quality function deployment of identifying future customer needs for communication software design, using data mining. This study attempts to identify future customer needs from sales questionnarie database using a time series-based data mining cycle for communication software designers and companies. We first defined the problem and constructed a sales questionnarie database. Second, we prepared and analyzed data. Third, we used the time series-based data mining cycle to mine the weights and determine the trend of each customer need for the next period. The use of time series-based data mining cycle to predict the weights is advantageous because it can (1) find the trend of future customers needs; (2) provide communication software designers and companies with reference points to satisfy customer needs in advance. The results of this study can provide an effective procedure of identifying the trends of customer needs and enhance customer relationship management in the software marketplace for communications.