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April 3, 2026Open Access

Establishing An Enterprise-Scale Data Lineage And Traceability Framework To Enhance Regulatory Compliance, Data Accountability, And Governance Across Modern Data Ecosystems

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Authors

SSSrinivasa Rao Seetala

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Overview

Develops a framework enhancing regulatory compliance and governance across interconnected data systems, suggesting improved accountability.

Key Points

  • The research aims to create a comprehensive data lineage and traceability framework to improve data governance in enterprise settings.
  • Mixed methodological approach combining qualitative examination and conceptual framework development
  • Analysis of enterprise data management practices and information environments
  • Integration of structured metadata management, governance controls, and lineage mapping
  • Implementing the framework enhances regulatory transparency and audit capabilities
  • Significant reduction in compliance risks associated with fragmented data architectures
  • Provides a strategic governance model linking data sources and policy controls

Cite This Study

Srinivasa Rao Seetala (2019) studied this question.

synapsesocial.com/papers/69cf5e2e5a333a821460c4fahttps://doi.org/10.5281/zenodo.19347722
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