Bharmal, Atul Ramesh (2025) Cloud-based master data management (MDM) solutions: Revolutionizing enterprise data strategy. International Journal of Science and Research Archive, 14 (1). pp. 754-765. ISSN 2582-8185
![IJSRA-2025-0120.pdf [thumbnail of IJSRA-2025-0120.pdf]](https://eprint.scholarsrepository.com/style/images/fileicons/text.png)
IJSRA-2025-0120.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.
Abstract
Cloud-based Master Data Management (MDM) solutions are revolutionizing how organizations handle critical data assets in today's rapidly evolving digital landscape. These solutions offer enhanced scalability, flexibility, and real-time access capabilities that traditional on-premises systems struggle to match. By leveraging advanced technologies such as artificial intelligence, machine learning, and microservices architecture, cloud-based MDM enables organizations to achieve superior data quality, improved operational efficiency, and better business outcomes. This comprehensive article explores cloud-based MDM solutions' key features, benefits, implementation challenges, and future trends. It emphasizes their transformative impact across customer management, product information, financial data orchestration, and supply chain optimization domains. This article examines the transformative potential of cloud-based MDM, detailing how organizations can achieve up to 68% data accuracy improvement and 52% cost reduction while leveraging advanced technologies like AI and blockchain.
Item Type: | Article |
---|---|
Official URL: | https://doi.org/10.30574/ijsra.2025.14.1.0120 |
Uncontrolled Keywords: | Cloud-based Master Data Management; Data Quality Management; Enterprise Data Integration; Digital Transformation; Data Governance |
Depositing User: | Editor IJSRA |
Date Deposited: | 13 Jul 2025 14:17 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/640 |