Implementing Row-Level Security in Power BI: A Case Study Using AD Groups and Azure Roles

Dinesh Nayak Banoth¹, Priyank Mohan², Rahul Arulkumaran³, Om Goel⁴, Dr. Lalit Kumar⁵ & Prof.(Dr.) Arpit Jain⁶

¹Cleveland State University, Cleveland, Ohio 44115, US, dineshnayakeb1@gmail.com

²Scholar, Seattle University , USA, priyankmohangupta@gmail.com

³University At Buffalo, New York, USA rahulkumaran313@gmail.com

⁴ABES Engineering College Ghaziabad, omgoeldec2@gmail.com

⁵Asso. Prof, Dept. of Computer Application IILM University Greater Noida

⁶KL University, Vijaywada, Andhra Pradesh, dr.jainarpit@gmail.com

Abstract

Row-Level Security (RLS) is a critical feature in Power BI that enables organizations to restrict data access at the row level based on user roles. This case study explores the implementation of RLS using Active Directory (AD) groups and Azure roles, showcasing its effectiveness in maintaining data confidentiality while enhancing user experience. The study begins with a comprehensive overview of RLS principles, detailing the configuration process within Power BI and the integration of Azure Active Directory for user authentication.

We illustrate a practical scenario involving a financial organization that requires different access levels for its employees based on their departmental roles. By utilizing AD groups to categorize users, the organization can streamline data access and ensure that sensitive information is only available to authorized personnel. The case study highlights the configuration steps, including defining security roles within Power BI, setting up AD groups, and mapping these roles to specific data sets.

Additionally, the paper discusses the benefits of this implementation, such as improved compliance with data protection regulations and enhanced operational efficiency. We also address potential challenges encountered during the setup process, including troubleshooting permission issues and ensuring seamless integration with existing IT infrastructure. Overall, this case study demonstrates the practicality of implementing RLS using AD groups and Azure roles in Power BI, offering valuable insights for organizations aiming to strengthen their data governance framework while facilitating tailored reporting experiences.

Keywords

Row-Level Security, Power BI, Active Directory Groups, Azure Roles, Data Access Control, Data Confidentiality, Security Roles, Data Governance, User Authentication, Organizational Compliance.

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