Assessing Master Data Management Maturity in General Insurance Sector
Abstract
As data becomes a strategic asset, organizations must adopt strong Master Data Management (MDM) practices to support governance, compliance, and decision-making. This study assesses the MDM maturity of a general insurance company in Indonesia using a qualitative case study approach. Data were gathered through interviews, document analysis, and field observations. The assessment used the Master Data Management Maturity Model (MD3M), which evaluates key domains of MDM practices. Findings show the company is still in the early stages of MDM maturity, characterized by fragmented processes, unclear roles, and limited data standardization. This study offers empirical insights into MDM maturity within the insurance sector, which remains underrepresented in current research. It also provides practical recommendations for improvement, such as defining data ownership, formalizing governance structures, and integrating customer data systems to enhance overall data management capabilities.
Keywords: Master Data Management; MD3M; Maturity Assessment; General Insurance
Abstrak
Seiring dengan meningkatnya peran data sebagai aset strategis, organisasi perlu menerapkan praktik Master Data Management (MDM) yang kuat untuk mendukung tata kelola, kepatuhan, dan pengambilan keputusan. Studi ini menilai tingkat kematangan MDM pada sebuah perusahaan asuransi umum di Indonesia dengan menggunakan pendekatan studi kasus kualitatif. Data dikumpulkan melalui wawancara, analisis dokumen, dan observasi lapangan. Penilaian dilakukan menggunakan kerangka Master Data Management Maturity Model (MD3M) yang mengevaluasi sejumlah domain utama dalam praktik MDM. Temuan menunjukkan bahwa tingkat kematangan MDM perusahaan masih berada pada tahap awal, ditandai dengan proses yang terfragmentasi, peran yang belum jelas, dan standar data yang belum konsisten. Studi ini memberikan wawasan empiris mengenai kematangan MDM di sektor asuransi, yang masih jarang diteliti. Selain itu, studi ini menawarkan rekomendasi praktis seperti penetapan kepemilikan data, pembentukan struktur tata kelola, dan integrasi sistem data nasabah.
Keywords
References
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