MASTER DATA MANAGEMENT IMPLEMENTATION IN DISTRIBUTED INFORMATION SYSTEM CASE STUDY DIRECTORATE GENERAL OF TAX, MINISTRY OF FINANCE OF REPUBLIC OF INDONESIA

  • Aris Budi Santoso Universitas Indonesia
  • Yoga Pamungkas
  • Yova Ruldeviyani
Keywords: Master Data Management, Distributed Information System, DMBOK, Data Virtualization

Abstract

Information system architecture of Directorate General of Tax (DGT) is centralized with distributed data. The main problem are replication of master and reference data which spread among applications which vary on data structure and the synchronization jobs that spread in many locations and not well managed. Therefore, Master Data Management (MDM) needs to be implemented with accordance to characteristic of centralized distributed information system. Master data management maturity evaluation is conducted using MDM maturity model (MD3M) Spruit dan Pietzka, the result is Data Protection, Data Quality and Maintenance topic have maturity level 3 or defined process stage, while Data Model, Usage and Ownership topic have maturity level 2 or repeatable stage. Solutions to solve MDM issues and to enhance the master data management maturity level are proposed based on Data Management Body of Knowledge (DMBOK). DGT’s MDM issues are related to insufficiency of policy and architecture of MDM system. Policy and architectural approach of centralized MDM system is required to solve that issues. Proposed solution involves the use of data virtualization to enable implementation of centralized system of MDM without consolidate all master and reference data into new database.

References

[1] Kementerian Keuangan RI Direktorat Jenderal Pajak, Cetak Biru Teknologi Informasi dan Komunikasi Tahun 2015 - 2019. Jakarta: Kementerian Keuangan RI, 2018.
[2] F. Haneem, R. Ali, N. Kama, and S. Basri, “Resolving data duplication, inaccuracy and inconsistency issues using Master Data Management,” in 2017 International Conference on Research and Innovation in Information Systems (ICRIIS), 2017, pp. 1–6.
[3] M. Spruit and K. Pietzka, “MD3M: The master data management maturity model,” Comput. Human Behav., vol. 51, pp. 1068–1076, 2015.
[4] The Data Management Association, DAMA-DMBOK2 Framework, V.2. DAMA International, 2017.
[5] E. Baghi, S. Schlosser, V. Ebner, B. Otto, and H. Oesterle, “Toward a Decision Model for Master Data Application Architecture,” in 2014 47th Hawaii International Conference on System Sciences, 2014, pp. 3827–3836.
[6] D. V. Zúñiga, R. K. Cruz, C. R. Ibañez, F. Dominguez, and J. M. Moguerza, “Master Data Management Maturity Model for the Microfinance Sector in Peru,” in Proceedings of the 2Nd International Conference on Information System and Data Mining, 2018, pp. 49–53.
[7] S. Sarkar and S. Das, “A state level policy framework for integrating DFaaS with E-Governance,” in 2014 International Conference on Parallel, Distributed and Grid Computing, 2014, pp. 153–158.
[8] S. Earley, “Data Virtualization and Digital Agility,” IT Prof., vol. 18, no. 5, pp. 70–72, Sep. 2016.
[9] IBM, “IBM InfoSphere Classic Federation Server,” IBM InfoSphere Classic Federation Server, 2018. [Online]. Available: https://www.ibm.com/us-en/marketplace/infosphere-classic-federation-server.
[10] Cisco, “Cisco Information Server 7.0.5 Data Sheet,” Cisco Information Server 7.0.5 Data Sheet, 2017. [Online]. Available: https://www.cisco.com/c/dam/en/us/products/collateral/cloud-systems-management/data-virtualization/cisco-information-server-ds.pdf.
[11] Informatica, “Data Service Data Sheet,” Data Service Data Sheet, 2017. [Online]. Available: https://www.informatica.com/content/dam/informatica-com/global/amer/us/collateral/data-sheet/data-services_data-sheet_7010.pdf.
[12] Redhat, “Redhat Jboss Data Virtualization Data Sheet,” Redhat Jboss Data Virtualization Data Sheet, 2016. [Online]. Available: https://www.redhat.com/cms/managed-files/mi-datavirt-jdv-datasheet-inc0439167-201608at-us-en.pdf.
Published
2019-04-16
How to Cite
Santoso, A. B., Pamungkas, Y., & Ruldeviyani, Y. (2019). MASTER DATA MANAGEMENT IMPLEMENTATION IN DISTRIBUTED INFORMATION SYSTEM CASE STUDY DIRECTORATE GENERAL OF TAX, MINISTRY OF FINANCE OF REPUBLIC OF INDONESIA. Jurnal Sistem Informasi, 15(1), 18-27. https://doi.org/10.21609/jsi.v15i1.779