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The most useful feature for me is the data lineage view. When looking at a dashboard used for seasonal reporting or campaign analysis, it's very helpful to see where the numbers originate and how they move between systems. The data catalog is another big plus. Instead of asking multiple teams where certain datasets live, you can search and understand what data exists and who owns it. That saves a lot of time when building reports or preparing presentations. I also appreciate the sensitivity and classification features, especially when working with consumer data or campaign performance data that has privacy implications across different markets.
These were the elements we did like about the product: Setting up billing was straight-forward. RBAC in the product allowed for separation of duties for Works well with our pre-existing DLP classifications
Purview automatically scans and classifies data across Azure, MS 365, SQL server, and other connected sources. Because we are heavily invested in Azure and MS 365, purview fits seamlessly into our stack. Integration with Azure, Power BI and SQL makes lineage tracking and governance practical. The ability to define classification rules and policies in one place, and apply them across data sources, provide much more control and consistency than our legacy tools.
From a business user perspective, the interface can feel quite technical. It's clearly built more with data teams in mind. Another challenge is that the value depends heavily on how well the catalog is maintained. If datasets aren't properly documented, it becomes less useful. Finally, adoption can be slow because many teams don't naturally think about governance when they just want quick access to data.
Microsoft's support for what we needed was subpar at best as they were not able to help us setup the product to our needs. Online Documentation on the Microsoft Learn site wasn't helpful Our experience with integrating with Fabric was not good, as we were unable to get the data catalog populated correctly.
Configuring scanning, access control, and policies across different data estates requires planning and internal alignment. MS rolls out updates often, but sometimes the documentation lags behind. Its pricing is tricky to predict upfront, and then only after scanning a large number of sources. Budgeting requires careful planning.