Institutional Knowledge to Institutional Intelligence: A Data Mining Enabled Knowledge Management Approach

Significant amount of knowledge is created in Higher Educational Institutions (HEIs) as a result of the academic, research and administrative activities. Deployment of the knowledge generated towards performance enhancement, decision making and process improvement will yield effective results such as enhanced planning and development, better administrative services, improved teaching and learning processes, effective faculty and student performance evaluation, efficient research, and better placements and recruitments. To generate the desired outcomes, the institutions need to better access, analyse and utilize the institutional knowledge for extracting the existing relationships, associations, patterns and trends in knowledge. The author proposes a tiered architecture for capture and storage of institutional knowledge and its transformation into institutional intelligence. The research adopts a three phase approach, the first phase consisting of identification of the functional domains and performance indicators that determine performance, the second phase being the proposed architecture and the third phase consists of modeling the architecture using knowledge management and data mining methods. This paper covers with the first two phases of the research and the third phase is proposed to be taken up as a future work.