Challenges and Solutions in Data Governance and Privacy: A Conceptual Model for Telecom and Business Intelligence Systems

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This paper explores the challenges and solutions in data governance and privacy within the context of telecommunications and business intelligence (BI) systems, with a specific focus on the impact of 5G technology. As 5G networks become increasingly integral to the digital transformation of industries, the volume, variety, and velocity of data generated pose significant concerns regarding data security, privacy, and regulatory compliance. With the interconnection of billions of devices and the shift to software-defined networks, telecom operators face the dual challenge of optimizing network performance while safeguarding sensitive user data. Moreover, the global nature of 5G deployments introduces complexities in adhering to region-specific privacy laws, such as the GDPR and CCPA, demanding comprehensive governance frameworks. This study proposes a conceptual model that integrates robust data governance practices with BI systems, enabling organizations to leverage 5G technology effectively while ensuring data privacy and compliance. Key features of the model include the implementation of advanced encryption, secure authentication, privacy-by-design principles, and real-time threat detection systems. By embedding governance into the network architecture, telecom operators can mitigate risks and enhance the security of both customer data and network operations. Additionally, integrating BI systems with governance frameworks ensures the ethical use of data for strategic decision-making, facilitating improved customer insights, network optimization, and the creation of new revenue streams. The paper also emphasizes the need for cross-sector collaboration among telecom operators, technology providers, and policymakers to establish unified standards and best practices. By fostering public-private partnerships and developing international data governance frameworks, the telecommunications industry can achieve a balance between technological advancement and privacy protection. Ultimately, the proposed model offers a pathway for integrating 5G capabilities with responsible data management, ensuring that business intelligence systems remain effective, compliant, and aligned with ethical standards.