
Founder | CEO @ RADACAD | Coach | Power BI Consultant | Author | Speaker | Regional Director | MVP
Reza Rad (RADACAD) [MVP] explains common errors that developers make when sharing reports in Power BI workspaces in a recent YouTube video. He outlines why some sharing methods create security gaps, cause permission headaches, and increase administrative work. Consequently, the video guides viewers toward safer and more scalable alternatives, with a focus on real-world tradeoffs between convenience and control.
The video begins by noting that a workspace in Power BI acts as a collaborative hub for reports, datasets, and dashboards, but it can easily expose more than intended. For example, using direct sharing from a report can leave fragments of content or unfinished work visible to the wrong audience. Therefore, Reza stresses that teams must think about access boundaries and the lifecycle of content when they choose how to share.
One major point Reza highlights is the repeated misuse of the Share button on individual reports inside a workspace. This approach forces authors to repeat sharing steps for each report, which leads to inconsistent permissions and forgotten items as the number of reports grows. Instead, he recommends publishing a Power BI app from the workspace, because apps bundle reports, allow clear audience targeting, and reduce the chance of accidental over-sharing.
Another mistake covered is granting users contributor or member roles in workspaces without restricting app access. When people receive workspace roles, they can browse all content and see work-in-progress items or unrelated datasets. As a result, sensitive data can leak or users may infer details despite row filters. Reza argues that teams should publish apps or create team-specific workspaces to separate development from published content.
The video calls attention to the less obvious settings like Reshare and Build permissions that can widen data exposure if enabled by default. If recipients can reshare, the dataset can propagate beyond intended groups, and if they can build, they can create new reports against shared datasets. Consequently, the recommendation is to explicitly set view-only rights and to disable reshare and build where appropriate, especially for external guests.
Reza also covers the licensing side, reminding viewers that sharing methods often depend on whether users have Power BI Pro or Premium Per User (PPU) licenses. In practice, this creates a tradeoff: stricter, secure sharing requires paid licenses but preserves control, while open methods like public embedding avoid licenses but expose data. Thus, administrators must balance cost, user access expectations, and the sensitivity of the information before selecting a sharing approach.
The video further explains how Row-Level Security (RLS) complicates sharing decisions because it depends on both dataset configuration and the way users access reports. Even when RLS is set up correctly, exposing a dataset via workspace roles or build permissions might allow users to combine data in unintended ways. Therefore, testing RLS with realistic user scenarios and restricting dataset build rights can reduce the chance of leaks.
Reza touches on how adopting Microsoft Fabric and shared capacities affects distribution strategies because capacity management changes who can publish and how performance scales. In larger deployments, uncontrolled sharing can cause load spikes or confuse capacity allocation. Consequently, teams need governance processes that align workspace use, app publication, and capacity planning to avoid performance and security conflicts.
Overall, the video recommends organizing content into clear sections, publishing apps for broad audiences, and limiting workspace roles to trusted authors. Additionally, use security groups to manage large audiences and verify that external users are B2B guests where needed. These steps reduce manual work and provide a clearer audit trail while still allowing teams to iterate on reports behind the scenes.
While apps improve control, they add steps to the deployment process and require governance to keep content updated, which is a tradeoff between control and speed. Moreover, tight restrictions can frustrate power users who need to explore datasets and build new insights, so organizations must balance data protection with agility. Reza suggests establishing clear roles and an approval flow to let analysts work while keeping sensitive data protected.
In summary, Reza Rad offers practical guidance for avoiding common Power BI sharing pitfalls by favoring apps, tightening permissions, and confirming licensing. He argues that teams should build simple governance rules that match their risk profile and capacity constraints. By doing so, organizations can deliver reports reliably while reducing the chance of accidental exposure.
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