In search of high quality in postsecondary education in Colombia

We face the process of High Quality Accreditation in two ways: one involving large amount of information (big data), including issues as: self evaluation, high quality, statistics, indicators, surveys, field work (process engineering), during several periods of time. The other one is related to information contained about High Quality: which involved the development of an intelligent architecture based on both knowledge and models for the competitiveness. The engine for this architecture is mathematical and computational models for dynamic and structural analysis of the academic governability. It specially considers the processes of High Quality Accreditation (HQA), which demand a great effort with the participation of numerous people and faculty members, and the compliance with government regulations. The architecting makes easy the walkthrough top and bottom up (from macro to micro level of data), covering the whole processes of the university, in order to verify the full compliance with the accreditation rules, policy and quality assurance of the entire academic programs. These architectures allow us to follow up the progressive enhancement in search of the academic excellence.