Data Classification: Enabling Robust Data Governance and Access Management in Enterprise Environments
Author(s): Dinesh Thangaraju
Publication #: 2501037
Date of Publication: 12.12.2022
Country: USA
Pages: 1-12
Published In: Volume 8 Issue 6 December-2022
DOI: https://doi.org/10.5281/zenodo.14613689
Abstract
In the era of data-driven decision-making, enterprises face challenges in managing and protecting their data assets amidst regulatory compliance requirements and increasing cybersecurity threats. Data classification is the foundation for enabling robust access management, ensuring data quality, enforcing consistent access control policies, and strengthening data governance. This paper highlights the importance of data classification in modern enterprises, outlines key challenges, and proposes a technical framework for implementing a scalable data classification solution. By integrating automation, metadata management, and policy enforcement mechanisms, businesses can secure sensitive data, improve operational efficiency, and ensure compliance with global regulations. Metrics for evaluating implementation success are also presented to help enterprises achieve a resilient data management infrastructure.
Keywords: Data Classification, Data Governance, Access Control, Metadata Management, Compliance, Security Policies, Data Quality
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