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

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.

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Publication Details

Journal
International Journal of Computing and Engineering
Published
2024-11-24
DOI
https://doi.org/10.47941/ijce.2375
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

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

Santosh Kumar Singu
International Journal of Computing and Engineering
Big Data and Business Intelligence
article

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

Santosh Kumar Singu
article en

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.

International Journal of Computing and EngineeringVol. 6(7)
Deloitte (United States) (US)
Openalex Percentile: Top 68%
Big Data and Business Intelligence
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