Author
Listed:
- Chandra Sekhara Reddy Adapa
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. The integration of blockchain technology and IoT capabilities is further transforming how enterprises maintain data integrity and manage connected device information. Modern MDM platforms incorporate comprehensive security frameworks and intelligent data management features, allowing organizations to maintain robust governance while adapting to changing business requirements. Through API-led connectivity and microservices architecture, these solutions provide enhanced integration capabilities and architectural flexibility. The advancement of cloud-native architectures, combined with AI-driven automation and analytics, positions cloud-based MDM as a crucial enabler of digital transformation and business success.
Suggested Citation
Chandra Sekhara Reddy Adapa, 2025.
"Cloud-based Master Data Management: Transforming Enterprise Data Strategy,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 1057-1065, March.
Handle:
RePEc:jbh:ijsrcs:v11:y2025:i2:id:1172
DOI: 10.32628/CSEIT25112436
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112436
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