參考答案
For 500+ users, I don't build separate datasets for every department. I design a centralized architecture.
I start with shared datasets in Power BI Service. These datasets act as the single source of truth. They contain the data model, relationships, measures, and security rules. Department-specific reports then connect to these shared datasets using Live Connection. That way, reports stay lightweight and consistent. If I update a measure in the central dataset, every connected report reflects the change.
Then, security has to scale. I implement dynamic Row Level Security using a mapping table that links UserEmail to Department, Region, and access level. This allows one security model to serve hundreds of users without manually assigning roles one by one.
For workspace strategy, I separate workspaces by function, for example, Finance, Sales, and HR. Each workspace has clearly defined roles: Admin, Member, Contributor, and Viewer. This keeps ownership clear and prevents accidental changes to certified content.
For distribution, I publish Apps rather than sharing individual reports. Each department gets a single app URL with curated content. That simplifies access and reduces confusion.
Governance is critical at this scale. I use deployment pipelines to manage Dev, Test, and Production environments. I enforce naming conventions for datasets and reports. I certify or endorse trusted datasets so users know which ones to rely on.
Capacity planning also matters. With 500+ users, I evaluate whether Premium capacity (P1 or higher) is required or whether Premium Per User is sufficient. The decision depends on dataset size, refresh frequency, and concurrent usage patterns.
I monitor usage metrics regularly. If certain reports are rarely accessed, I review whether they should be archived or redesigned. I also use the data lineage view to understand upstream and downstream dependencies before modifying any shared dataset.
At the tenant level, I align with governance policies, who can publish content, who can export data, and whether external sharing is allowed.
So my approach focuses on centralization, scalable security, clear workspace ownership, structured deployment, and ongoing monitoring. That keeps the environment manageable even with hundreds of users.
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