Master Data Domains Prioritization and Privacy Classification in Government Agencies: An empirical study of Malaysia Local Government

  • Authors

    • Faizura Haneem
    • Nazri Kama
    • Azri Azmi
    • Azizul Azizan
    • Suriani Mohd Sam
    2018-09-01
    https://doi.org/10.14419/ijet.v7i3.20.19174
  • data management, master data, master data management (MDM), government agencies

  • Master data is the most valuable information in each government agency such as customers, suppliers, products, accounts, and the relationships between them. In government agencies, master data are scattered across various agencies, managed in a silo environment in multiple applications and database systems. This silo data management issue led to data quality issues such as data duplication and also may cause disaster to the agencies due to the complexity and higher cost and resource requirement. To resolve the issue, the Master Data Management (MDM) implementation at central level could minimize the data duplication problem by establishing a single source of truth by consolidating and integrating multiple master data from multiple agencies into central repository. The central repository can be referred by other applications across multiple agencies instead of creating new entities in their local database systems. However, in the initial stage of the MDM implementation process, master data across government agencies must be assessed and prioritized to ensure the success of the implementation. Hence, this study aims to clarify the domains prioritization and the privacy classification of master data in government agencies by using a qualitative and quantitative data analysis approach. It involves participative case studies from seven (7) Malaysia’s local government agencies. The study identifies 36 sets of master data which generally prioritized into three domains which are; 1) services and products, 2) customers, and 3) service providers. From these master datasets, 20 datasets (56%) are classified as open data. The result of this study is in contrast with most of the current literatures that stated the MDM typically prioritize on the customer data domain as compared to other domains. This study also indicates that the government agency has a high potential to share these open master data to the centralized MDM platform with worry-free of the privacy issues.

     

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    Haneem, F., Kama, N., Azmi, A., Azizan, A., & Mohd Sam, S. (2018). Master Data Domains Prioritization and Privacy Classification in Government Agencies: An empirical study of Malaysia Local Government. International Journal of Engineering & Technology, 7(3.20), 322-328. https://doi.org/10.14419/ijet.v7i3.20.19174