Enhancing Master Data Management Maturity: A Case Study of Institution XYZ
Downloads
Data has become a strategic asset that supports decision-making in the digital era. Master Data Management (MDM) is used to assure quality, accuracy, and consistency of master data. However, government electronic certification services face challenges related to data inconsistencies due to the use of two applications with separate databases. This study assessed the MDM maturity level in government electronic certification services (Institution XYZ) using the Spruit & Pietzka Master Data Management Maturity Model (MD3M). It then provided improvement recommendations aligned with the Data Management Body of Knowledge (DMBOK). The research applied five domains: data model, data quality, use and ownership, data protection, and maintenance, encompassing 62 required capabilities. Data were collected through interviews with the data management team. The results indicated that 69.36% of the capabilities in the MD3M model had been implemented.This study identified areas for improvement in master data management within government electronic certification services and provided strategic recommendations to enhance data management effectiveness. This approach is expected to support more effective, secure, and standardized data management in accordance with organizational and regulatory requirements.
Ojeda, A. M., Valera, J. B., & Diaz, O. (2025). Artificial intelligence of big data for analysis in organizational decision-making. Global Journal of Flexible Systems Management, 26(3), 515–527.
A. R., P., G. D., R., M. F., A., N. F., B., P. A., & Ruldeviyani, Y. (2019). Master Data Management Maturity Assessment : A Case Study of A Pasar Rebo Public Hospital. IEEE.
Alfiandi, R., & Ruldeviyani, Y. (2024). Improvement Master Data Management : Case Study Of The Directorate General Of The Religious Courts Of The Supreme Court Of The Republic Of Indonesia. Sinkron, 9(1), 355–365. https://doi.org/10.33395/sinkron.v9i1.13194
Biswas, T. R., Hossain, M. Z., & Comite, U. (2024). Role of management information systems in enhancing decision-making in large-scale organizations. Pacific Journal of Business Innovation and Strategy, 1(1), 5–18.
Das, T. kumar, & Mishra, M. R. (2011). A Study on Challenges and Opportunities in Master Data Management. International Journal of Database Management Systems, 3(2), 129–139. https://doi.org/10.5121/ijdms.2011.3209
Gade, K. R. (2021). Data-driven decision making in a complex world. Journal of Computational Innovation, 1(1).
Haristya, S., Laksmi, S., Astuti, A. N. T., & Dewi, I. F. (2020). Perbandingan Rancangan Undang-undang Perlindungan Data Pribadi dengan Konvensi Eropa 108+ dan GDPR.
Henderson, Deborah., Earley, Susan., & Bradley, Chris. (2017). DAMA-DMBOK : Data Management Body of Knowledge. Technics Publications.
Iqbal, R., Yuda, P., Aditya, W., Hidayanto, A. N., Handayani, P. W., & Harahap, N. C. (2019). Master Data Management Maturity Assessment: Case Study of XYZ Company.
Khong, I., Yusuf, N. A., Nuriman, A., & Yadila, A. B. (2023). Exploring the impact of data quality on decision-making processes in information intensive organizations. APTISI Transactions on Management, 7(3), 253–260.
Ko, C., Adywiratama, A. D., & Hidayanto, A. N. (2021). Master Data Management Maturity Model (MD3M) Assessment: A Case Study in Secretariat of Presidential Advisory Council. 2021 9th International Conference on Information and Communication Technology, ICoICT 2021, 359–363. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICoICT52021.2021.9527507
Kościelniak, H., & Puto, A. (2015). BIG DATA in decision making processes of enterprises. Procedia Computer Science, 65, 1052–1058.
Krismawati, D., Ruldeviyani, Y., & Rusli, R. (2019). Master Data Management Maturity Model: A Case Study at Statistics Business Register in Statistics Indonesia. IEEE.
Nulhusna, R., Taufiq, N. F., & Ruldeviyani, Y. (2022). Strategy to Improve Data Quality Management: A Case Study of Master Data at Government Organization in Indonesia. Proceeding - 2022 International Symposium on Information Technology and Digital Innovation: Technology Innovation During Pandemic, ISITDI 2022, 150–155. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ISITDI55734.2022.9944466
Pansara, R. (2021). Master Data Management Challenges. International Journal of Computer Science and Mobile Computing, 10(10), 47–49. https://doi.org/10.47760/ijcsmc.2021.v10i10.008
Pansara, R. (2021). Master Data Management Importance in Today’s Organization. International Journal of Management (IJM), 12(10), 55–59. https://doi.org/10.34218/IJM.12.10.2021.006
Permata Sari, A., & Nizar Hidayanto, A. (2024). Penilaian Kematangan Manajemen Data Master, Studi Kasus Rumah Terapi XYZ. Retrieved from https://ejurnalunsam.id/index.php/jicom/
Prastowo, A., Nugroho, S., & Ruldeviyani, Y. (2025). Peningkatan Manajemen Data Master Rekam Medis Elektronik Rumah Sakit: Studi Kasus di Rumah Sakit XYZ. 6(7).
Prataman, F. G., Astana, S., Yudhoatmojo, S. B., & Hidayanto, A. N. (2018). Master Data Management Maturity Assessment: A Case Study of Organization in Ministry of Education and Culture. IEEE.
Qodarsih, N., Yudhoatmojo, S. B., & Hidayanto, A. N. (2018). Master Data Management Maturity Assessment: A Case Study in the Supreme Court of the Republic of Indonesia.
Rishartati, P., Rahayuningtyas, N. D., Maulina, J., Adetia, A., & Ruldeviyani, Y. (2019). Maturity Assessment and Strategy to Improve Master Data Management of Geospatial Data Case Study: Statistics Indonesia. IEEE.
Spruit, M., & Pietzka, K. (2015). MD3M: The master data management maturity model. Computers in Human Behavior, 51, 1068–1076. https://doi.org/10.1016/j.chb.2014.09.030
Copyright (c) 2026 Gesi Deta Hendika Wardani, Retisa Heryati Siwi , Dana Indra Sensuse , Sofian Lusa , Nurcholis Ramlan

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

