Proposed data quality evaluation method for a transportation agency
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 da...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Advanced Informatics School, Universiti Teknologi Malaysia
2017
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/80685/1/PritheegaMagalingam2017_ProposedDataQualityEvaluationMethod.pdf |
| _version_ | 1796863238040715264 |
|---|---|
| author | Mohamad Yunus, Fatimah Magalingam, Pritheega Maarop, Nurazean Samy, Ganthan Narayana Wong, Doris Hooi-Ten Shanmugam, Bharanidharan Perumal, Sundresan |
| author_facet | Mohamad Yunus, Fatimah Magalingam, Pritheega Maarop, Nurazean Samy, Ganthan Narayana Wong, Doris Hooi-Ten Shanmugam, Bharanidharan Perumal, Sundresan |
| author_sort | Mohamad Yunus, Fatimah |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T20:23:45Z |
| format | Article |
| id | utm.eprints-80685 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:23:45Z |
| publishDate | 2017 |
| publisher | Advanced Informatics School, Universiti Teknologi Malaysia |
| record_format | dspace |
| spelling | utm.eprints-806852019-06-13T06:44:22Z http://eprints.utm.my/80685/ Proposed data quality evaluation method for a transportation agency Mohamad Yunus, Fatimah Magalingam, Pritheega Maarop, Nurazean Samy, Ganthan Narayana Wong, Doris Hooi-Ten Shanmugam, Bharanidharan Perumal, Sundresan HD30.213 Management information systems. Decision support systems 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. Advanced Informatics School, Universiti Teknologi Malaysia 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/80685/1/PritheegaMagalingam2017_ProposedDataQualityEvaluationMethod.pdf 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 http://publication.ais.utm.my/ojs/index.php/oiji/article/view/37/20 |
| spellingShingle | HD30.213 Management information systems. Decision support systems Mohamad Yunus, Fatimah Magalingam, Pritheega Maarop, Nurazean Samy, Ganthan Narayana Wong, Doris Hooi-Ten Shanmugam, Bharanidharan Perumal, Sundresan Proposed data quality evaluation method for a transportation agency |
| title | Proposed data quality evaluation method for a transportation agency |
| title_full | Proposed data quality evaluation method for a transportation agency |
| title_fullStr | Proposed data quality evaluation method for a transportation agency |
| title_full_unstemmed | Proposed data quality evaluation method for a transportation agency |
| title_short | Proposed data quality evaluation method for a transportation agency |
| title_sort | proposed data quality evaluation method for a transportation agency |
| topic | HD30.213 Management information systems. Decision support systems |
| url | http://eprints.utm.my/80685/1/PritheegaMagalingam2017_ProposedDataQualityEvaluationMethod.pdf |
| work_keys_str_mv | AT mohamadyunusfatimah proposeddataqualityevaluationmethodforatransportationagency AT magalingampritheega proposeddataqualityevaluationmethodforatransportationagency AT maaropnurazean proposeddataqualityevaluationmethodforatransportationagency AT samyganthannarayana proposeddataqualityevaluationmethodforatransportationagency AT wongdorishooiten proposeddataqualityevaluationmethodforatransportationagency AT shanmugambharanidharan proposeddataqualityevaluationmethodforatransportationagency AT perumalsundresan proposeddataqualityevaluationmethodforatransportationagency |