A Business Intelligence Framework Intended to Advance Quality Assurance Methodologies in Indian Higher Education Organizations

Ankita S Jaiswal

doi:https://doi.org/10.47001/CJESR/2025.202005

Authors

Ankita S Jaiswal

Department of Management, Amity Business School (ABS), Amity University Chhattisgarh, India

Abstract

This article seeks to illustrate the application of business intelligence (BI) within higher education institutions (HEIs) in India for the purpose of overseeing quality assurance (QA) initiatives. It investigates the landscape of quality assurance in Indian higher education, addresses the challenges encountered by these institutions, and analyzes how BI and analytics enhance decision-making processes. Additionally, the article presents a tailored BI solution designed for India, aimed at monitoring and assessing performance related to quality assurance. It particularly emphasizes the role of BI in accreditation, rankings, and student outcomes, considering the complexity and diversity of India's educational framework.

Keywords

higher education business intelligence performance evaluation monitoring educational institutions India

Citation of this Article

Ankita S Jaiswal. (2025). A Business Intelligence Framework Intended to Advance Quality Assurance Methodologies in Indian Higher Education Organizations. Current Journal of Engineering and Science Research. 2(2), 22-25. Article DOI: https://doi.org/10.47001/CJESR/2025.202005

References

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[2] T. R. Soomro and R. Ahmad, “Quality in Higher Education: United Arab Emirates Perspective,” High. Educ. Stud., 2012, doi: 10.5539/hes.v2n4p148.

[3] P. Khare and Sahil Arora, “Predicting Customer Churn in SaaS Products using Machine Learning,” Heal. Inf. Sci. Syst., 2020, doi: 10.1007/s13755-019-0095-z.

[4] R. Mishra, “Usage of Data Analytics and Artificial Intelligence in Ensuring Quality Assurance at Higher Education Institutions,” in Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019, 2019. doi: 10.1109/AICAI.2019.8701392.

[5] M. Tsinidou, V. Gerogiannis, and P. Fitsilis, “Evaluation of the factors that determine quality in higher education: An empirical study,” Qual. Assur. Educ., 2010, doi: 10.1108/09684881011058669.

[6] R. T. Kaleem Ullah, Majid Ali Tunio, Zahid Ullah, Muhammad Talha Ejaz, Muhammad Junaid Anwar, Muhammad Ahsan, “Ancillary services from wind and solar energy in modern power grids: A comprehensive review and simulation study,” J. Renew. Sustain. Energy, vol. 16, no. 3.

[7] F. al-O. Mohammed Hamdatu, Ahmed Siddiek, “Application of Quality Assurance & Accreditation in the Institutes of Higher Education in the Arab World ( Descriptive & Analytical Survey ),” Am. Int. J. Contemporary Res., 2013.

[8] L. Schindler, S. Puls-Elvidge, H. Welzant, and L. Crawford, “Definitions of Quality in Higher Education: A Synthesis of the Literature,” High. Learn. Res. Commun., 2015, doi: 10.18870/hlrc.v5i3.244.

[9] A.E. Hassanien, A. Darwish, M. Elhoseny, and N. Metawa, “Intelligent information system to ensure quality in higher education institutions, towards an automated e-university,” Int. J. Comput. Intell. Stud., 2017, doi: 10.1504/ijcistudies.2017.10010025.

[10] A.P.A. Singh, “STRATEGIC APPROACHES TO MATERIALS DATA COLLECTION AND INVENTORY MANAGEMENT,” Int. J. Bus. Quant. Econ. Appl. Manag. Res., vol. 7, no. 5, 2022.

[11] National Institutional Ranking Framework (NIRF). “India Rankings 2024.”

[12] AICTE. “Policy Framework for Technical Education in India.”

[13] J. Sujata, D. Aniket, and M. Mahasingh, “Artificial intelligence tools for enhancing customer experience,” Int. J. Recent Technol. Eng., 2019, doi: 10.35940/ijrte.B1130.0782S319.

[14] J. Thomas, “Optimizing Nurse Scheduling : A Supply Chain Approach for Healthcare Institutions,” pp. 2251–2259, 2024.

[15] R. Haupt, B. Scholtz, and A. Calitz, “Using Business Intelligence to Support Strategic Sustainability Information Management,” in ACM International Conference Proceeding Series, 2015. doi: 10.1145/2815782.2815795.

[16] A.Sorour, A. S. Atkins, C. F. Stanier, and F. D. Alharbi, “The role of business intelligence and analytics in higher education quality: A proposed architecture,” in 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019, 2020. doi: 10.1109/AECT47998.2020.9194157.

[17] I.Guitart and J. Conesa, “Adoption of business strategies to provide analytical systems for teachers in the context of universities,” Int. J. Emerg. Technol. Learn., 2016, doi: 10.3991/ijet.v11i07.5887.

[18] N. Denwattana and A. Saengsai, “A framework of Thailand higher education dashboard system,” in 20th International Computer Science and Engineering Conference: Smart Ubiquitos Computing and Knowledge, ICSEC 2016, 2017. doi: 10.1109/ICSEC.2016.7859883.