Business Intelligence for Data-Driven Decision-Making in Vocational Education


  • Siriporn Chairungruang Thonburi Commercial College, Institute of Vocational Education Bangkok, Thailand
  • Phatthachada Khampuong Thonburi Commercial College, Institute of Vocational Education Bangkok, Thailand
  • Pornchai Rodcharoen Thonburi Commercial College, Institute of Vocational Education Bangkok, Thailand
  • Chantip Leelitthum Thonburi Commercial College, Institute of Vocational Education Bangkok, Thailand
  • Ponpen Eak-ieamvudtanakul Thonburi Commercial College, Institute of Vocational Education Bangkok, Thailand


business intelligence, data-driven decision-making, vocational education


In this paper, the researchers were interested in data-driven decision-making support systems in vocational education. The conceptual framework of Business Intelligence (BI), when combined with academic processes, can be significantly improved. This paper aims to explain BI solutions to support the academic activities of vocational education. With BI, we can leverage a suite of analytical tools that support decision-making for different types of users (students, faculty, administrators, and decision-makers). Data-driven decision-making (DDDM) processes with BI solutions for proposed vocational education management include Data, Information and Knowledge. The decision-making process is taken through the ELT process (Extract, Transform, Load) and then stored in a data warehouse (DW) for the decision outcome. The decision outcome is then applied and returned to the classroom, building or district.


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How to Cite

S. Chairungruang, P. . Khampuong, P. . Rodcharoen, C. . Leelitthum, and P. . Eak-ieamvudtanakul, “Business Intelligence for Data-Driven Decision-Making in Vocational Education”, Int J Edu Comm Tech, vol. 2, no. 2, pp. 61–69, Sep. 2022.



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