To ameliorate students' performance is principally a challenging task for teachers and academic stakeholders as academic performance centers on various key indicators and auxiliary miscellaneous academic factors. The relationship among these aspects facade in an obscure way which are highly uncharted from the perspective of educational data mining proceedings. Consequently, it becomes indispensable to examine and discover data produced from di verse educational sources using various data mining techniques to uncover different unknown patterns. The principal intention of this research was to analyse and differentiate factors from pedagogical data which have substantial impact on improving the student's performance. Furthermore, a novel endeavor has been made to unearth the influence of individual subjects and demographic factor on overall performance through the application of various mining techniques vis-à-vis Structural Equation Modeling (SEM) and Analysis of variance (ANOVA). The findings by and large have clearly confirmed that competence in English subject has paramount significance from the perspective of performance in overall result. The findings by and large have clearly confirmed that competence in English subject has paramount significance from the perspective of performance in overall result and it calls for the attention of academicians and other associated stake holders to put more emphasis on this subject to have better student academic achievement.