Peran Metadata Management dalam Meningkatkan Kualitas Data Efesiensi Pengambilan Keputusan
DOI:
https://doi.org/10.61132/jumbidter.v2i3.599Keywords:
metadata, metadata management, data quality, decision-making, data governanceAbstract
In the era of digital transformation, organizations face the huge challenge of managing data that is constantly increasing in volume, variety, and speed. Metadata, as "data about data," plays an important role in providing context and structure to data, thus supporting the quality and effectiveness of its use. This article examines the role of metadata management in improving data quality and decision-making efficiency. Using a descriptive qualitative approach through literature analysis and case studies, the results of the study show that metadata management contributes to improving the accuracy, consistency, completeness, and timeliness of data. Good metadata implementation also speeds up data retrieval, minimizes misinterpretation, and supports the automation of the analytics process. In addition to the technical benefits, this article also discusses strategic aspects, such as the integration of metadata in data governance and the challenges of technology adoption. In the context of modern organizations, metadata management is not just a technical necessity, but part of an ongoing data governance strategy. Therefore, this article provides conceptual and practical insights for professionals and policymakers in building reliable and data-based information systems.
Downloads
References
Almeida, J. P., & Souza, A. C. (2019). Metadata Management in Data Governance: A Conceptual and Technological Review. Journal of Information Systems and Technology Management, 16(1), 1–15. https://doi.org/10.4301/S1807-1775201916001
DAMA International. (2017). The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) (2nd ed.). Technics Publications.
ISO/IEC. (2004). ISO/IEC 11179-1: Information technology — Metadata registries (MDR) — Part 1: Framework. International Organization for Standardization.
Khatri, V., & Brown, C. V. (2010). Designing data governance. Communications of the ACM, 53(1), 148–152. https://doi.org/10.1145/1629175.1629210
Redman, T. C. (1996). Data Quality for the Information Age. Artech House.
Simon, H. A. (1997). Administrative Behavior: A Study of Decision-Making Processes in Administrative Organizations (4th ed.). Free Press.
Strong, D. M., Lee, Y. W., & Wang, R. Y. (1997). Data quality in context. Communications of the ACM, 40(5), 103–110. https://doi.org/10.1145/253769.253804
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5–33. https://doi.org/10.1080/07421222.1996.1151809
Zeng, M. L., & Qin, J. (2016). Metadata. American Library Association.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Jurnal Manajemen Bisnis Digital Terkini

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.