Human-DBA Collaboration Across Industries: Enhancing Data-Driven Decision Making

Authors

  • Nagamalleswararao Bellamkonda Pune University, India

DOI:

https://doi.org/10.32996/jcsts.2025.7.5.98

Keywords:

Database collaboration, healthcare informatics, manufacturing intelligence, scientific data management, digital transformation.

Abstract

This article explores the critical partnership between Database Administrators (DBAs) and domain experts across healthcare, manufacturing, and scientific research sectors. As global data volumes expand exponentially, this collaboration enables organizations to harness vast information resources while maintaining security, compliance, and optimal performance. In healthcare, DBAs support electronic health records management and regulatory compliance, directly improving patient outcomes and operational efficiency. Manufacturing environments benefit from specialized database implementations that enable real-time monitoring, predictive maintenance, and supply chain optimization. Scientific research advances through database architectures designed for massive datasets, ensuring experimental reproducibility and accelerating discovery processes. Despite industry differences, common technical requirements emerge: scalability, reliability, security, and performance optimization. Emerging trends including Database-as-a-Service, automated tuning, graph databases, and real-time analytics continue to reshape the collaborative landscape. Organizations fostering strong human-DBA partnerships gain significant advantages in operational efficiency, innovation capacity, and strategic decision-making, positioning themselves for continued success in increasingly data-centric industries.

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Published

2025-06-07

Issue

Section

Research Article

How to Cite

Nagamalleswararao Bellamkonda. (2025). Human-DBA Collaboration Across Industries: Enhancing Data-Driven Decision Making. Journal of Computer Science and Technology Studies, 7(5), 860-866. https://doi.org/10.32996/jcsts.2025.7.5.98