Research on relationships between potential of marketing staff and their job performance

This paper explores the associations between personality traits and performance indicators. CCA (Canonical Correlation Analysis) is applied to analyze and optimize the correlations between the two groups of original data, find out the maximum canonical correlation coefficient, convert raw variables into canonical variables. Using sample data, the authors make a detailed explanation for modeling process, showing the dimension reduction effects. The comprehensive potential index of potential data and comprehensive performance evaluation index of performance data are developed, significant linear correlation between them is found, and then the regression equations are established with the two groups of raw data. By vertical and horizontal analysis of the predictive model, we get some important statistics correlations between personal factors and performance indicators. The results indicate that the method in this paper can utilize the advantages of CCA on dimension reduction and optimization for high dimension random vectors, decrease the complexity of the algorithm.