Universiti Teknologi Malaysia Institutional Repository

Proposed data quality evaluation method for a transportation agency

Mohamad Yunus, Fatimah and Magalingam, Pritheega and Maarop, Nurazean and Samy, Ganthan Narayana and Wong, Doris Hooi-Ten and Shanmugam, Bharanidharan and Perumal, Sundresan (2017) Proposed data quality evaluation method for a transportation agency. Open International Journal of Informatics (OIJI), 5 (2). pp. 52-63. ISSN 2289-2370


Official URL: http://publication.ais.utm.my/ojs/index.php/oiji/a...


The data quality evaluation is essential towards designing a data assessment method for any company because data is an important asset. Therefore, the purpose of this study is to develop the data quality evaluation method for a transportation agency in Malaysia in order to quantify the quality of data in the SIKAP licensing system. This can benefit the transportation agency to improve the quality of data for the use of reporting, forecasting business operations and data integration with other agency’s systems. The relevant data evaluation dimensions have been identified from literature study and relative data evaluation framework which are necessarily required by the transportation agency to maintain high data quality in the SIKAP system. The process design for the proposed method involves data dimension identification, capturing the relevant database structure, subjective evaluation with a questionnaire and objective evaluation with data profiling. From the design process, the result shows that data evaluation method for a transportation agency must have a minimum of six data quality dimensions. SIKAP, the legacy system is in the process to revamp into a new system. Thus, this research contributes to enhance the current system’s data quality during revamping process and data migration into the new system.

Item Type:Article
Uncontrolled Keywords:Data Quality, Data Dimension, Data Profiling, Evaluation, Transportation System
Subjects:H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Decision support systems
Divisions:Advanced Informatics School
ID Code:80685
Deposited By: Fazli Masari
Deposited On:13 Jun 2019 06:44
Last Modified:13 Jun 2019 06:44

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