Ensuring Data Security and Compliance in ETL Processes for Healthcare and Financial Services

Singu Santosh Kumar ()

International Journal of Computing and Engineering, 2024, vol. 6, issue 7, 1 - 11

Abstract: Purpose: This study explores the critical role of ETL (Extract, Transform, Load) processes in managing data within highly regulated industries such as healthcare and finance. It highlights the challenges posed by stringent legal frameworks like HIPAA in the health sector and GDPR in finance while emphasizing the importance of ETL in ensuring compliance and improving data utility. Methodology: The research examines the application of ETL processes in consolidating and transforming data for organizational use, with specific examples from healthcare (e.g., Electronic Health Records) and financial sectors (e.g., Basel III reporting). It also reviews current best practices for addressing data-related challenges, including governance, encryption, validation, and containerization. Findings: Key challenges in ETL processes include data privacy, regulatory compliance, data quality issues, and technical limitations. However, implementing best practices such as robust data governance, advanced encryption methods, intelligent validation mechanisms, and containerized workflows significantly mitigates these risks. These practices ensure secure data handling and enhance organizational compliance with regulatory standards. Unique Contribution to Theory, Policy and Practice: The study contributes to the theoretical understanding of ETL processes as a linchpin for data management in regulated environments. It offers policy insights into how organizations can meet compliance requirements effectively. Practically, it provides actionable recommendations for organizations to adopt ETL best practices, ensuring secure, efficient, and legally compliant data operations. These advancements strengthen client trust, reduce legal risks, and empower organizations to leverage data for strategic advantage.

Keywords: ETL Process; Data Privacy; Healthcare Regulation and Financial Regulation; Data Control. (search for similar items in EconPapers)
Date: 2024
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