QoX based ETL Design for Business Intelligence System of Lecturers’ Qualifications Analysis

Saebao, Suttida; Matayong, Sureena; Trakulmaykee, Numtip

doi:10.1109/ecti-con49241.2020.9158113

Cited by 1 publication

(3 citation statements)

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“…The Quality Objective Matrix (QOX) is one of the quality measures of data and information that can be used to examine the performance of relevant data and information to ensure the effectiveness of ETL workflow [1,4,[7][8][24][25]. Previous studies identified four dimensions of QOX: accuracy, completenes, scalability, and efficiency [7][8][30][31][32][33] as presented in Table 1.…”

Section: Qualification Objective Matrix (Qox)mentioning

confidence: 99%

“…This paper is an extension of work originally presented in [1]. The study explained more details and extended work in terms of implementation and evaluations.…”

Section: Introductionmentioning

confidence: 98%

“…However, the success of BI system depends on the quality of data preparation which consists of three steps: extract, transform, and load (ETL) [4][5][6]. The ETL process is complicated, time consuming and expensive [1,[7][8][9][10]. This study proposed and evaluated the ETL workflows with Quality Objective Matrix (QOX) to ensure the ETL performance.…”

Section: Introductionmentioning

confidence: 99%

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The Design and Implementation of Business Intelligence System for Lecturer Qualification Analysis based on ETL’s QOX Approach

Saebao¹,

Matayong²,

Trakulmaykee³

2021

Adv. sci. technol. eng. syst. j.

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The study aims to design and evaluate the Business Intelligence (BI) system for lecturer qualification analysis. The Quality Objective Matrix (QOX) was the tool to evaluate the proposed ETL's qualities. This research focused on four key performance indicators of QOX: accuracy, completeness, scalability, and efficiency. In implementation, the developed BI system was evaluated by satisfaction questionnaire which was designed based on the Technology Acceptance Model (TAM). The results showed the proposed ETLs were good qualities in terms of accuracy, completeness, scalability, and efficiency. For satisfaction evaluation, the results also showed the very good level in overall. It was indicated that the users were satisfied to use the proposed BI dashboard for lecturers' qualifications analysis which was developed based on the Standard Criteria for Graduate Studies Programs (SCGSP). They perceived that the Lecturer Qualification Analysis System (LQAS) was easy to use and can help them to reduce time in the data preparing process. Additionally, the results highlighted that the information quality of BI dashboard also was sufficient and accurate for lecturer qualification analysis.

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Section: Qualification Objective Matrix (Qox)mentioning

confidence: 99%

“…This paper is an extension of work originally presented in [1]. The study explained more details and extended work in terms of implementation and evaluations.…”

Section: Introductionmentioning

confidence: 98%