Abstract
The K-12 Basic Education Program in the Philippine is now on its full swing status. However, as it moves to the peak of its full implementation, the number of drop-outs, retention, and migration students is increasing. With this in mind, the researcher came across with designing data warehouse and data mining architecture in the analysis of drop-out, retention, and migration patterns of students. Academic performance is the main factor in the students’ drop-out, retention, and migration. The proposed architecture would be sufficient for the analysis of the K-12 students’ academic status. It served as a foundation in the conduct of a thorough study on students’ drop-out, retention, and migration patterns.
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