Shared and certified datasets
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In many cases, data already exists to answer your business question. The challenge for the data provider is to share it in a way that encourages reuse and preserves a single version of the truth. For the report author, the challenge is to find reliable and high-quality data quickly and easily in both the service and Power BI Desktop.
With shared datasets in Power BI, we are allowing a single dataset to be used by multiple reports, across workspaces. You can either build new reports based on datasets in different workspaces or you can copy existing reports across workspaces. As part of this work, we are introducing new capabilities for dataset owners and tenant administrators to control the use of shared data.
For dataset owners, we are expanding the Power BI permission model to add a new build permission, separating out the permission to view pre-created reports on a dataset from those with build, which will allow the creation of new content whether that is through the Power BI service (reports, Q&A), Desktop, Analyze in Excel option, or third-party BI tools. During roll-out of shared datasets, the permission set of existing datasets will be migrated so that users currently assigned the Read permission will also get the Build permission to maintain the same level of access.
For tenant administrators, a new admin control will allow you to restrict the group of users who can create reports on top of shared datasets. This admin control will default to Enabled for whole org unless you currently have restrictions set up for the Export data admin control, in which case the default will be Disabled for whole org.
To help users discover shared datasets relevant to them, we are introducing a new dataset discovery experience in the Power BI service and Desktop that makes it easy to browse and search content.
Organizations will be able to certify datasets that are the authoritative source for critical information, which will be prominently featured in the discovery experience. The ability to certify datasets can be tightly controlled and documented internally via a new admin control. Thus, organizations can ensure that dataset certification is a selective process resulting in the establishment of truly reliable and authoritative datasets designed for use across the org.
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