Degree

Master of Science in Data Science

Department

Department of Computer Science

Faculty/ School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Fall 2024

Supervisor

Dr. Tariq Mahmood, Professor and Program Coordinator MS(CS) and MS(DS) Programs, School of Mathematics and Computer Science (SMCS)

Keywords

Data Governance, Azure Purview, Data Security, Business Intelligence, Data Protection

Abstract

This project aims to develop a robust data governance framework for managing Business Intelligence (BI) processes, with Microsoft Azure as the central platform. The core objective is to protect sensitive data and ensure compliance with privacy and security policies throughout the entire BI lifecycle, which includes data ingestion, transformation, storage, and consumption. Leveraging Azure's powerful tools such as Azure Purview for data cataloging, Azure Synapse for data warehousing, and Azure Active Directory (AAD) for access control—the framework ensures that sensitive information is handled securely and efficiently. The solution is designed to regulate the flow of data within the organization, ensuring that all stages of the BI pipeline are monitored and compliant with relevant data governance policies. Azure Purview will play a key role in organizing and classifying data, while Azure Synapse will centralize the data storage and transformation process, making it easier to implement governance controls. AAD will be used to manage user access, ensuring that only authorized individuals can access or modify sensitive data. The framework will also include a compliance tracking system that enables the monitoring of data privacy violations, providing actionable insights to mitigate risks. By implementing this governance framework, the organization will not only safeguard its sensitive data but also foster transparency and trust in its BI processes. The result is a more secure, efficient, and legally compliant BI environment, where data integrity and privacy are prioritized at every stage of the data lifecycle. This project establishes a clear roadmap for managing and securing data, improving operational efficiency, and ensuring legal compliance.

Document Type

Restricted Access

Submission Type

Research Project

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