In the luxury and fashion sector, the implementation of Power BI Row Level Security is essential to protect strategic information and ensure that each user has access only to the information they are responsible for. An international brand of fine jewelry and luxury accessories turned to us to automate the security management of their Power BI dashboards through an intelligent Row-Level Security system. Here's how it went.
Our client, a global icon in the luxury sector with a particular focus on high-end jewelry, watches, accessories and perfumes, was managing a critical challenge related to security of your business data in Power BI.
The company had numerous dashboards developed in Power BI and a very large amount of sensitive data that ranged from sales performance to commercial strategies, from inventory data to market analysis.
The main critical issue consisted in ensure that the information was visible only to authorized users via Power BI Row Level Security. Each boutique manager had to see only the data of their store, each regional director only those of their area, each product manager only the performance of their line.
THEabsence of an automated system for managing Row-Level Security rules in Power BI It entailed:
The dynamic nature of the organization helped to further complicate the situation.
The customer therefore required an automated system that would simplify the creation, management and maintenance of RLS rules in Power BI, minimizing manual intervention and ensuring greater efficiency and security in data management.
For those who do not know the concept, let's give a brief overview that will serve to better understand the complexity of the challenge faced.
Power BI Row Level Security (RLS) is a feature that allows you to limit access to data line-level based on the identity of the user accessing the report. In practice, using the same dataset and the same dashboard, different users will see different information based on their permissions.
In the context of luxury retail, the implementation of Power BI Row Level Security means that:
The Row Level Security mechanism in Power BI works through the definition of DAX rules (Data Analysis Expressions) that dynamically filter data. However, manually managing these rules quickly becomes complex when you have hundreds of users with different roles, dozens of dashboards with specific security logics, and structured organizational hierarchies.
This is where automation comes into play: instead of manually configuring each rule for each user on each dashboard, an intelligent system can automatically generate and update Power BI Row Level Security policies based on the organizational structure and company roles.
We have developed a dedicated software capable of fully automate the management of Row Level Security rules on Power BI, transforming a manual and error-prone process into a fluid and centralized operation.
The heart of the solution is a custom web platform that integrates perfectly with the customer's Power BI ecosystem. The system allows dynamically generate Power BI Row Level Security policies through an intuitive interface where administrators can:
Integrate existing data sources to keep user data from the HR system synchronized, organizational structures from Active Directory, dashboard metadata from Power BI, and business logic from ERP systems.
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Automate recurring processes such as onboarding new users with automatic assignment of RLS permissions, updating rules when roles change, propagating changes across all relevant dashboards, and generating compliance reports.
The development of the solution presented significant challenges that we addressed with particular attention.
The creation of a reliable and simple import/export system in Excel to be used for Power BI Row Level Security configurations required a sophisticated approach. We have created a module that allows you to export all RLS configurations in Excel format and re-import them after massive changes, implementing consistency checks to prevent misconfigurations and providing immediate feedback on errors with corrective suggestions.
The need to guarantee an optimal UI/UX, in line with the standards and expectations of an international luxury customer, led us to develop an interface for managing Row Level Security in Power BI that would reflect the excellence of the brand:
The development of a detailed operating log system represented another critical challenge. It was necessary to record every operation carried out within the Power BI Row Level Security management portal and associate those actions with the authenticated user, recording the precise timestamp, the before/after changes and, when requested, the reason for the change.
The solution was built using enterprise-grade technologies:
Backend:
The integration with Okta for portal access has guaranteed a level of enterprise security, with Single Sign-On (SSO) for simplified access, Multi-Factor Authentication (MFA) for additional protection, centralized management of identities, roles and full access audit trail.
After being put into production, the solution has radically transformed the way the customer manages Power BI Row Level Security:
But it's not just about numbers. The customer can now scale without worries: adding new dashboards or users is no longer an operational problem, since the system automatically manages the application of the appropriate Power BI Row Level Security rules. Total compliance is guaranteed by complete traceability and centralized management, allowing the company to demonstrate at any time who has access to which data and why.
The reduction in operating costs was significant. Automation has freed up IT resources previously dedicated to the manual management of RLS rules, allowing the team to focus on activities with greater added value.
The Modern Apps team responds swiftly to IT needs where software development is the core component, including solutions that integrate artificial intelligence. The technical staff is trained specifically in delivering software projects based on Microsoft technology stacks and has expertise in managing both agile and long-term projects.
