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Description

If your “role-based dashboard” projects keep blowing up after go-live—with the wrong people seeing HR data, managers missing their own numbers, and IT stuck in endless permission hotfixes—you don’t have a dashboard problem, you have a role and security problem. Most Power Platform teams obsess over visuals, DAX, and KPIs, while the real risk sits underneath in mismatched Azure AD groups, fuzzy role definitions, and Power BI security models that never quite line up with how the business actually works. In this episode, you learn how to design role-based dashboards from the identity and access layer upwards so they stay trusted, compliant, and maintainable long after the first demo.

We walk through what really happens when you skip that upfront role mapping: executives suddenly see more detail than they should, analysts stumble into restricted views, security groups drift out of date, and everyone slowly stops trusting the numbers on screen. You will see how to turn Azure AD groups, Power BI row-level security, and Power Apps permissions into one coherent framework that reflects real org structure instead of legacy group names and one-off exceptions. By the end, you will have a practical blueprint to turn fragile “everyone sees everything or nothing” dashboards into targeted control centers for execs, managers, and front-line staff—without opening compliance gaps or drowning IT in manual access fixes.

WHAT YOU LEARN

CORE INSIGHT

The core insight of this episode is that a secure, trusted role-based dashboard is an identity and access design first, and a visual/reporting design second. When you start with clear personas, clean Azure AD groups, and aligned Power BI security, your dashboards stop being a compliance liability and become reliable control centers for each audience you serve.

WHO THIS IS FORABOUT THE HOSTThis episode is hosted by Mirko Peters, a Microsoft 365 and Power Platform consultant who helps organizations turn chaotic dashboards and permissions into clear, role-based analytics experiences. Combining identity, security, and reporting know-how, he focuses on patterns that keep sensitive data protected while giving each user—from exec to analyst—the exact view they need to make fast, confident decisions.


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