As any estimation or quality assurance process in HEIs, seeking progress indicators, require advancing on preparation to demonstrate on students' learning, and there is a growing need in universities for an evidenced-based Learning Analytics (LA) model to employ big data for the benefit of their students, researcher build this novel but practical, step by step framework. The objective of this article is to fill the void in literature by develop and validate a framework that integrates BI software solutions, LA and students' performance, for analyzing useful knowledge from the student learning experience by predictive analytics, to improve learning outcomes for the students and the society. In this article, researcher review literature in design and modeling LA frameworks and its correlation with other related fields. The novel practical Business Intelligence Enhance Learning Analytic Framework (BIELA), that represent meaningful guidance on effectiveness use of LA in HEIs, keeping up with the revolution of ICT and the dynamic "big data" growing exponentially, toward growth in HEIs, the extraordinary turbulent environment.