Application of business intelligence in the quality management of higher education institutions

被引:2
作者
Perez-Perez, Y. M. [1 ]
Rosado-Gomez, A. A. [1 ]
Puentes-Velasquez, A. M. [1 ]
机构
[1] Univ Francisco de Paula Santander, Grp Invest Tecnol & Desarrollo Ingn, Ocana, Colombia
来源
INTERNATIONAL MEETING ON APPLIED SCIENCES AND ENGINEERING | 2018年 / 1126卷
关键词
BALANCED SCORECARD; KNOWLEDGE MANAGEMENT; PERFORMANCE; SYSTEMS;
D O I
10.1088/1742-6596/1126/1/012053
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Business Intelligence (BI) combines tools, that supported by technology, allow to use the data generated by an organization in order to extract information that supports decision making. This paper exposes the application of BI in Higher Education Institutions focusing on administrative and academic management processes. The review links BI with its tools balanced scorecard (BSC), data mining (DM) and data warehouse (DW). Among the results, we found a relationship between the used tool and the type of process, identifying three categories: administrative management, educational quality assurance and academic performance.
引用
收藏
页数:6
相关论文
共 61 条
  • [1] Mining significant association rules from educational data using critical relative support approach
    Abdullah, Zailani
    Herawan, Tutut
    Ahmad, Noraziah
    Deris, Mustafa Mat
    [J]. WORLD CONFERENCE ON EDUCATIONAL TECHNOLOGY RESEARCHES-2011, 2011, 28
  • [2] Acosta Ochoa Abril, 2014, Rev. educ. sup, V43, P151
  • [3] A balanced scorecard for measuring the impact of industry-university collaboration
    Al-Ashaab, Ahmed
    Flores, Myrna
    Doultsinou, Athanasia
    Magyar, Andrea
    [J]. PRODUCTION PLANNING & CONTROL, 2011, 22 (5-6) : 554 - 570
  • [4] Al-Hosaini F.F., 2015, International Review of Management and Marketing, V5, P26
  • [5] A New Data Mining Model Adopted for Higher Institutions
    Al-Twijri, Mohammed I.
    Noaman, Amin Y.
    [J]. INTERNATIONAL CONFERENCE ON COMMUNICATIONS, MANAGEMENT, AND INFORMATION TECHNOLOGY (ICCMIT'2015), 2015, 65 : 836 - 844
  • [6] Patterns of business intelligence systems use in organizations
    Arnott, David
    Lizama, Felix
    Song, Yutong
    [J]. DECISION SUPPORT SYSTEMS, 2017, 97 : 58 - 68
  • [7] Artieta Pinedo I, 2005, INTRO PSICOLOGIA PEN, P367
  • [8] Analyzing undergraduate students' performance using educational data mining
    Asif, Raheela
    Merceron, Agathe
    Ali, Syed Abbas
    Haider, Najmi Ghani
    [J]. COMPUTERS & EDUCATION, 2017, 113 : 177 - 194
  • [9] Data mining application on students' data
    Buldu, Ali
    Ucgun, Kerem
    [J]. INNOVATION AND CREATIVITY IN EDUCATION, 2010, 2 (02): : 5251 - 5259
  • [10] Camargo J., 2016, REV CIENT-COLOMBIA, V24, P110