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Self-Service Business Intelligence for Higher Education Management

Author

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  • Dejan Zilli

    (International School for Social and Business Studies, Slovenia)

Abstract

Higher education institution management faces the challenge of improving study process quality and efficiency. Employable graduates are the result every education institution wishes to produce. Graduation rate is therefore crucial key performance indicator (KPI) important in many national models of financing higher education institutions. To achieve performance improvements of institution undergraduate retention rate has to be measured and analysed. Unfinished coursework indicates problems in the study process which management can correct with assignment of extra academic workload to faculty staff. Principles of equity and transparency have to be considered in the academic workload management process. Information technology (IT), in particular self-service business intelligence (BI) can help management with timely and relevant information about study process. In this case study of designing a data warehouse for higher education management the use of different KPI’s is discussed. Dimensional models of proposed BI solution are presented. Future research will include assessment of relative technical efficiency of higher education institution, prediction of undergraduate retention and analysis of obstacle for successful graduation.

Suggested Citation

  • Dejan Zilli, 2014. "Self-Service Business Intelligence for Higher Education Management," Human Capital without Borders: Knowledge and Learning for Quality of Life; Proceedings of the Management, Knowledge and Learning International Conference 2014,, ToKnowPress.
    • Handle: RePEc:tkp:mklp14:1387-1393
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    Cited by:

    1. Jens Passlick & Lukas Grützner & Michael Schulz & Michael H. Breitner, 2023. "Self-service business intelligence and analytics application scenarios: A taxonomy for differentiation," Information Systems and e-Business Management, Springer, vol. 21(1), pages 159-191, March.

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