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This is an In-Person Evening Session

Detailed information and registration can be found here :
https://dataminds.be/rls-without-compromise-advanced-time-intelligence-in-power-bi-in-person-trifinance/

### RLS Without Compromise: Secure Detail, Company-Wide Insight

Speaker: Anke Paelman

Row-Level Security is often implemented to restrict users to data from their own department or business unit. But what if they also need to benchmark their performance against the wider organization?

In this session, we’ll demonstrate a real-world Power BI implementation at SBB that combines strict data security with meaningful company-wide insights. Users can access detailed information for their own department while comparing key metrics against organizational averages and benchmarks.
We’ll share the modelling approach, DAX patterns, and lessons learned, giving attendees a practical framework for solving one of the most common challenges in enterprise Power BI deployments.

### One Date Table Isn’t Enough: Advanced Time Intelligence in Power BI

Speaker: Evert Augustyns

Time-based analysis is at the heart of almost every Power BI solution. Yet many reporting requirements quickly outgrow the capabilities of a single date table and standard slicers.

How do you allow users to compare custom periods? Build flexible benchmarking scenarios? Filter one visual differently from another? Or create advanced trend analyses without introducing unnecessary complexity?

In this session, we’ll demonstrate a modelling pattern that combines a traditional connected date table with a disconnected date table to enable highly dynamic filtering behaviour. Using practical examples from customer projects, we’ll show how this approach creates a more flexible reporting experience while keeping the semantic model maintainable and performant.

Whether you’re building executive dashboards, financial reports, or operational analytics, you’ll learn a powerful technique that can immediately enhance your Power BI models.

Related topics

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Artificial Intelligence
Data Analytics
Data Engineering
Power BI
Business Intelligence & Data Warehousing

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