Frameworks for Automated Data Governance and Compliance in Regulated Enterprise Data Environments

Authors

Rainer Maria Theodor
Indepedent Researcher, USA.

Keywords:

Automated data governance, enterprise compliance, regulated data environments, metadata management, policy enforcement, data lineage, access control, data lifecycle

Synopsis

As enterprises increasingly operate in data-intensive and highly regulated sectors, the need for robust, automated data governance frameworks has become paramount. This paper presents a comprehensive study of current automated governance mechanisms and compliance protocols applicable to regulated data environments, highlighting their integration in enterprise data ecosystems. Through the synthesis of existing technologies, process models, and regulatory frameworks, we propose a modular framework that enables proactive data governance, supports real-time policy enforcement, and ensures adherence to compliance standards across data lifecycles. The framework is positioned within the context of intelligent data infrastructure and regulatory landscapes, addressing key challenges related to data quality, lineage, access controls, and auditability.

 

 

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IJDS

Published

September 19, 2025

Series

Research paper

Categories

Copyright (c) 2025 Rainer Maria Theodor (Author)

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.