Design And Implementation Of Secure Data Governance Models For SSRS Reporting Platforms

Authors: Dr. Jonathan Reed, Sophia Mitchell, Dr. Benjamin Carter, Daniel Foster, Dr. Emily Watson, Chaitanya Srinivas

Abstract: The increasing reliance on enterprise reporting systems has amplified the need for robust data governance and security mechanisms, particularly in platforms such as Microsoft SQL Server Reporting Services (SSRS). This research presents the design and implementation of secure data governance models tailored for SSRS reporting platforms, focusing on ensuring data integrity, confidentiality, and regulatory compliance. The proposed framework integrates role-based access control, data encryption, auditing mechanisms, and policy-driven governance to manage sensitive data across reporting workflows. By incorporating secure data access layers and centralized governance policies, the model enhances visibility, accountability, and control over data usage. The study also addresses challenges related to data consistency, user authorization, and compliance with industry standards by implementing automated validation and monitoring techniques. Experimental evaluation demonstrates that the proposed governance model significantly reduces security risks, prevents unauthorized data access, and improves overall system reliability without compromising performance. The findings highlight the importance of integrating security-driven governance strategies into SSRS platforms to support secure, scalable, and compliant enterprise reporting environments.

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