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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Security and compliance in cloud-based marketing analytics: A framework for data governance

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  • Security and compliance in cloud-based marketing analytics: A framework for data governance

Kamini Murugaboopathy *

Wonderbow Analytics Private Ltd., India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 4117-4123

Article DOI: 10.30574/wjarr.2025.26.1.1360

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1360

Received on 21 March 2025; revised on 27 April 2025; accepted on 30 April 2025

The rise of cloud-based marketing analytics has transformed how organizations handle data governance, security, and compliance. As businesses increasingly migrate their analytical operations to the cloud, the need for robust security frameworks and compliance mechanisms has become paramount. Organizations face complex challenges in protecting sensitive customer data while maintaining regulatory compliance across multiple jurisdictions. The framework discussed encompasses encryption protocols, access controls, threat detection systems, privacy-enhancing technologies, and comprehensive risk management strategies. By implementing these measures alongside effective training programs and documentation practices, organizations can create a secure environment for marketing analytics while building customer trust and maintaining competitive advantage in the digital marketplace.

Cloud Security Architecture; Data Privacy Governance; Marketing Analytics; Regulatory Compliance; Risk Management

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1360.pdf

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Kamini Murugaboopathy. Security and compliance in cloud-based marketing analytics: A framework for data governance. World Journal of Advanced Research and Reviews, 2025, 26(1), 4117-4123. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1360

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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