Kajian Teori Mengenai Strategi Implementasi Data Governance dalam Manajemen Perusahaan
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Abstract
Data Governance is a systematic approach to data management that includes policies, standards, and procedures to ensure the quality, security, and compliance of data in a company. Effective implementation of Data Governance can improve operational efficiency, support data-based decision making, and ensure regulatory compliance. This study aims to analyze the strategy of implementing Data Governance in company management by reviewing the main components, benefits, and challenges faced. The method used is a literature study by referring to the theories and models of Data Governance that have been developed, such as DAMA (Data Management Association) and technology-based approaches. The results of the study indicate that an effective strategy involves setting clear goals, identifying roles and responsibilities, developing data policies, utilizing supporting technology, and ongoing monitoring and evaluation. Despite challenges such as organizational resistance and technological complexity, proper implementation of Data Governance can provide significant benefits in improving the quality and integrity of company data.
Keywords: Data Governance, Company Management, Implementation Strategy, Data Quality, Regulatory Compliance
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References
Hair, J, F, Black, W, C., Babin B, J & Anderson, R, E (2019). Multivariate Data Analysis (8th ed). Cengage Learning
Multivariate Data Analysis - Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E. Anderson - Google Buku
George, D., & Mallery, P (2023) Repeated-Measures MANOVA. Dalam G.L.M.: Repeated-Measures MANOVA (hal 26). Taylor & Francis
Statistik Multivariat: Analisis Anova, Manova, Ancova, Mancova, Reapted Measures dengan Aplikasi Excel dan SPSS (2024). Perpustakaan Universitas Sumatera Utara.
Statology. (2020). How to Perform Multivariate Normality Test in R
https://real-statistics.com/multivariate-statistics/boxs-test/boxs-test-basic-concepts/
Indarini Dwi Pursitasari, Bibit Harianto, Sinta Srie Wulan, Dody Hermanto, Didit Ardianto (2024), Multivariate Analysis of Variance (MANOVA) in the Field of Health and Mathematics and Natural Sciences Educations, jurnal Ilmiah Kanderang Tingang (2024), Vol. 15. No 1
https://doi.org/10.37304/jikt.v15i1.307
Bilson Simamora(2025), ANALISIS MULTIVARIAT PEMASARAN (hal 4), PT Gramedia Pustaka Utama
Sarah Friedrich, Frank Konietschke, Markus Pauly, Analysis Data and Measures Designs with the R Packages MANOVA RM, jurnal universitas lambung mangkurat, (2018), January 25 2018
https://doi.org/10.48550/arXiv.1801.08002
Ricard A Armstrong, Recommendations for analysis of repeated-measures designs: testing and corrections for sphericity and use of MANOVA and mixed model analysis, (2017) ,Ophthalmic and Physiological Optics, p. 585-593, Volume 37, Issue 5
https://doi.org/10.1111/opo.12399
Esta Dewi Anggita, Abdul Hoyyi, Agus Rusgiyono, Departemen Statistika, FSM, Universitas Diponegoro Indonesia, ANALISIS STRUCTURAL EQUATION MODELLING PENDEKATAN PARTIAL LEAST SQUARE DAN PENGELOMPOKKAN DENGAN FINITE DAN MIXTURE PLS (FIMIX-PLS) (Studi Kasus: Kemiskinan Rumah Tangga di Indonesia 2017), jurnal Gaussian ,(2019),
vol 8, No 1
https://doi.org/10.14710/j.gauss.8.1.35-45
Fikri Eka Pambudi, Amanda Nur Cahyawati, Sylvie Indah Kartika Sari, IDENTIFIKASI FAKTOR-FAKTOR MOTIVASI DAN KEPUASAN KERJA KARYAWAN MENGGUNAKAN PENDEKATAN ANALISIS STATISTIK MULTIVARIAT,(2025),Jurnal Rekayasa Sistem & Manajemen Industri, Vol 3 No 1
https://jrsmi.ub.ac.id/index.php/jrsmi/article/view/160
Ani Apriani (2016), “UJI MULTIVARIATE ANALYSIS OF VARIANCE (MANOVA) UNTUK MENGETAHUI PENGARUH PEMEKARAN WILAYAH TERHADAP PERKEMBANGAN LUAS AREA TERBANGUN PERMUKIMAN (STUDI KASUS DI KOTA KOTAMOBAGU SULAWESI UTARA)”, Prosiding Seminar Nasional ReTII. Ke-10 2015
https://journal.itny.ac.id/index.php/ReTII/article/view/175
Agisty Fiannisa, M. I. P. N. (2023). Memahami Peran Manajemen Dalam Mendorong Keberhasilan Data Governance Di Seluruh Organisasi Agisty. 5(3), 17–23.
Fadilah, T. F., & Nasution, M. I. P. (2020). Tinjauan Terhadap Implementasi Data Governance Dalam Lingkungan Bisnis: Tantangan, Strategi, Dan Manfaat. Neraca Manajemen, Ekonomi Vol, 7(November), 14–25.
Pipit Muliyah, Dyah Aminatun, Sukma Septian Nasution, Tommy Hastomo, Setiana Sri Wahyuni Sitepu, T. (2020). Mengoptimalkan Investasi Teknologi Melalui Data Governance Yang Terarah Dan Terukur. Journal GEEJ, 7(2).
Putri, R. (2024). Pengaruh Penggunaan Big Data Dalam Pengembangan Data Governance Menjamin Kualitas Data di Perusahaan Terhadap Kinerja Perusahaan. Jurnal Ilmiah Nusantara (JINU), 1(4), 648–655.
Rizal Mochamad Nazar, A. N. H. (2024). Rancangan Data Governance Menggunakan Panduan Data Management Body Of Knowledge( DMBOK ): STUDI KASUS PT XYZ. 9(3).
Sigi, A. L. (2024). Designing Data Governance With DAMA DMBOK Framework. Jurnal Teknobisnis, 8(2), 79–89. https://doi.org/10.12962/j24609463.v8i2.1408
Yulfitri, A. (2020). Analisis Data Governance Maturity Menggunakan Standford Data Governance Maturity. BRITech (Jurnal Ilmiah Ilmu Komputer, Sains Dan Teknologi Terapan), 1(2), 1–10.