Data Governance, Privacy and Compliance for Business Intelligence Solutions
DOI:
https://doi.org/10.36676/jrps.v16.i1.134Keywords:
Data Governance, Privacy Protection, Compliance, Business Intelligence, Regulatory Standards, Data Security, Consent Management, AI in BI, Data Ownership, GDPR, CCPA, Data Breaches, Compliance Automation, Sensitive Data Management, Ethical Data Use.Abstract
In today's data-driven business world, Business Intelligence (BI) solutions have emerged as a cornerstone of decision-making. However, the rapid growth of data and extensive use of cloud-based and AI-driven BI solutions have created massive challenges in data governance, privacy, and compliance. While these solutions are promising, there exists a crucial research gap in the understanding of how organizations can efficiently implement governance frameworks that strike a balance between data security and regulatory compliance and standards such as GDPR and CCPA. Existing literature is primarily focused on the technical aspects of BI tools, with minimal exploration of the interconnection between governance and privacy requirements in large-scale BI deployments. This research will address this gap by examining the salient aspects of an end-to-end data governance strategy that ensures privacy protection and legal compliance.
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