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All Journal Transmisi Indonesian Journal of Urology Indonesian Journal of Rheumatology Proceeding International Seminar of Islamic Studies Indonesian Journal of Cancer ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar Acta Neurologica Indonesia Kitabah: Jurnal Pendidikan Sosial Humaniora Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal) Jurnal Komtika (Komputasi dan Informatika)
Rahmad Mulyadi, Rahmad
Department of Diagnostic Radiology, Faculty of Medicine/Indonesia University, Cipto Mangunkusumo General Hospital, Jakarta.
Religion Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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The Maturity Model of Data Quality Management in Banking Industry: PT XYZ Core System Customer Data Mulyadi, Rahmad; Ruldeviyani, Yova; Alfiany, Noverina; Hidayanto, Achmad Nizar
Jurnal Komtika (Komputasi dan Informatika) Vol 7 No 1 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v7i1.8750

Abstract

PT XYZ, engaged in the financial industry, has a target to become a leading company in Southeast Asia and has been supported by more than 200 million customer data in its core system. This huge amount of data is expected to create business opportunities, build a risk-aware culture, and increase supremacy in the business strategy of PT XYZ. These things can be achieved if the data used is of good quality data. In fact, found anomalies in a large number of customer data. To get recommendations for improving the quality of customer data, it is necessary to assess the quality of customer data. The customer data quality assessment in this study uses the method introduced by Loshin (2011). Loshin’s Data Quality Management Model (DQMM) adopts a capability maturity level model in building its characteristic matrix. Maturity levels obtained are 3.6 (expectations), 3.6 (dimensions), 4.4 (policy), 3.8 (procedures), 4.2 (governance), 3.8 (standardization), 4, 2 (technology), and 3.8 (performance management). Regarding the expectation that senior management can achieve the highest level of data quality, 9 strategic recommendations were produced 9 strategy recommendations were submitted to PT XYZ is the result of mapping between criteria that have not been met with data quality management activity in Data Management Body of Knowledge (DMBOK) version 2.0. Measurement and monitoring of good data quality is the most influential recommendation for PT XYZ.
Co-Authors Achmad Nizar Hidayanto Afriyeni, Afriyeni Agus Iswantoko Agustina, Henri Alban, Alban Alfiany, Noverina Aman, Renindra Ananda Aninditha, Tiara Ariyati, Ira Biddulth Sujana, Biddulth Budi Wiweko Darto Darto Firdausia, Salsabila Harry Isbagio Helda Helda Imran, Darma Joedo Prihartono Maharani, Kartika Meriza, Tanggo Murdani Abdullah Novarisa, Nessa Pambudi, Joko Rilo Ponco Birowo Putri Auliya, Putri Rini Andriani Riwanti Estiasari Sami'in, Sami'in Sofyan, Henry Riyanto Wahidah Wahidah Yova Ruldeviyani Yunus, Reyhan Eddy