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QoX based ETL design for business intelligence system of lecturers qualifications analysis
Name: Suttida Saebao
Organization :
Prince of Songkla University. Faculty of Engineering
Email :
suttida.s@psu.ac.th
Name: Sureena Matayong
Organization :
Prince of Songkla University. Faculty of Engineering
Email :
smatayong@gmail.com
Name: Numtip Trakulmaykee
Organization :
Prince of Songkla University. Faculty of Engineering
Email :
n.trakulmaykee@gmail.com
keyword:
Extract, transform, load (ETL)
LCSH:
Business intelligence
LCSH:
Data warehousing
LCSH:
Decision support systems
Abstract:
A business intelligence (BI) system for analyzing lecturers qualifications is based on the Standard Criteria of the Graduate Studies Program (SCGSP). According to SCGSP, determining lecturer qualifications involves multiple factors derived from diverse data sources with heterogeneous formats. To support BI analysis, data integration is required through the Extract, Transform, and Load (ETL) workflow process. However, ETL workflows are complex, time-consuming, and costly, often accounting for up to 70% of the effort in data warehouse development. Additionally, there is a lack of systematic approaches and tools to ensure ETL quality, as most designs rely on developer experience. Poor ETL design can negatively affect BI system performance. Therefore, this paper proposes an ETL workflow design for lecturer qualification analysis based on SCGSP. The study identifies Quality of Objectives (QoX) dimensions-completeness, efficiency, scalability, and accuracyas key metrics for evaluating the quality of the ETL design in future work.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2020
Modified:
2026-04-02
Issued:
2026-04-02
บทความ/Article
application/pdf
BibliograpyCitation :
In Prince of Songkla University. College of Computing. The 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2020) (pp.539-542). Pattani : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.022643 วินาที
Suttida Saebao
| Title | Contributor | Type |
|---|---|---|
| QoX based ETL design for business intelligence system of lecturers qualifications analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Suttida Saebao;Sureena Matayong;Numtip Trakulmaykee | บทความ/Article |
Sureena Matayong
| Title | Contributor | Type |
|---|---|---|
| QoX based ETL design for business intelligence system of lecturers qualifications analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Suttida Saebao;Sureena Matayong;Numtip Trakulmaykee | บทความ/Article | |
| On predicting survival opportunities for prostate cancer by Cox regression in PSU patients data
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nattawut Thongpim;Chidchanok Choksuchat;Tanan Bejrananda;Sureena Matayong | บทความ/Article |
Numtip Trakulmaykee
| Title | Contributor | Type |
|---|---|---|
| QoX based ETL design for business intelligence system of lecturers qualifications analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Suttida Saebao;Sureena Matayong;Numtip Trakulmaykee | บทความ/Article |