A Hybrid Infrastructure of Enterprise Architecture and Business Intelligence & Analytics for Knowledge Management in Education
Oswaldo Moscoso-Zea, Jorge Castro, Joel Paredes-Gualtor, Sergio Luján-Mora
IEEE Access, 7(1), p. 38778-38788, 2019. e-ISSN: 2169-3536. https://doi.org/10.1109/ACCESS.2019.2906343
(IEEE'19a) Revista / Journal
Advances in science and technology, the internet of things and the proliferation of mobile apps are critical factors to the current increase in the amount, structure and size of information that organizations have to store, process and analyze. Traditional data storages present technical deficiencies when handling huge volumes of data and are not adequate for process modeling and business intelligence; to cope with these deficiencies, new methods and technologies have been developed under the umbrella of Big Data. However, there is still the need in higher education institutions (HEIs) of a technological tool that can be used for Big Data processing and for knowledge management (KM). To overcome this issue, it is essential to develop an information infrastructure that allows the capturing of knowledge and that facilitates experimentation by having cleaned and consistent data. Thus, this paper presents a hybrid information infrastructure for Business Intelligence & Analytics (BI&A) and KM based on an educational data warehouse (EDW) and an enterprise architecture (EA) repository that allows the digitization of knowledge and empowers the visualization and the analysis of dissimilar organizational components as people, processes, and technology. The proposed infrastructure was created based on research and will serve to run different experiments to analyze educational data, academic processes and for the creation of explicit knowledge using different algorithms and methods of educational data mining, learning analytics, online analytical processing (OLAP) and EA analytics.