Data Governance Maturity Assessment: A Case Study in IT Bureau of Audit Board

Dwitama Heryadi Kurniawan, Yova Ruldeviyani, Mohammad Rizky Adrian, Sutia Handayani, M. Rizki Pohan, T. Rani Khairunnisa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Data are important assets of organizations and define their businesses or functions. Data needs to be governed and controlled so that it goes to the proper owner. Well-defined data management can help organizations maintain the quality of their data. This study took the IT Bureau of Audit Board of State as a study research. The study assesses its maturity level and recommend how the board can benefit from learning it. This study used Stanford Maturity Model as the framework tool to assess practices of data governance in IT Bureau of audit board. The maturity assessment is performed by assessing both IT Bureau staffs and top echelons. After validation and finalization assessment, the result showed that most maturity components had average maturity level of 2.63. It means the IT Bureau of Audit Board already has high-level data governance meta-policies which are considered as best practices (between level 2 and 3). The data governance components that can be improved in the future are stewardship and metadata on capabilities dimension and policies dimension.

Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on Information Management and Technology, ICIMTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages629-634
Number of pages6
ISBN (Electronic)9781728133331
DOIs
Publication statusPublished - 1 Aug 2019
Event4th International Conference on Information Management and Technology, ICIMTech 2019 - Jakarta/Bali, Indonesia
Duration: 19 Aug 201920 Aug 2019

Publication series

NameProceedings of 2019 International Conference on Information Management and Technology, ICIMTech 2019

Conference

Conference4th International Conference on Information Management and Technology, ICIMTech 2019
Country/TerritoryIndonesia
CityJakarta/Bali
Period19/08/1920/08/19

Keywords

  • data governance
  • data management
  • local government
  • stanford maturity model

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