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As companies embrace their digital transformation and data become more accessible for analysis, the risk of accidental oversharing or misuse of business-critical information increases. It is more important than ever to answer the questions: “Where is my sensitive data? Who can access my sensitive data? How can I improve my end-to-end protection to prevent my sensitive data from leaking?”
Last year we announced the general availability of Power BI data protection capabilities, being the only BI product leveraging Microsoft Information Protection sensitivity labels (MIP) and providing users a simple way to classify critical content in Power BI without compromising productivity or the ability to collaborate. Sensitivity labels can be applied on datasets, reports, dashboards, and dataflows, and those labels are persisted along with relevant protection when data is exported from Power BI to Excel, PowerPoint, PDF, or PBIX files.
Last December, Microsoft released Azure Purview, a unified data governance service, including integration with Power BI and the ability to auto-label data in Azure Synapse Analytics and Azure SQL Database with MIP labels.
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Today, we’re happy to announce a public preview of Power BI MIP label inheritance when import data from Azure Synapse Analytics and Azure SQL Database. This capability will help you to ensure your data remains classified and secured across its data journey from Azure, through Power BI and to Office.
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Power BI datasets connecting to classified data in Azure Synapse Analytics or Azure SQL Database will inherit those labels such that data remains classified and secure when brought into Power BI and inherited when exported to Office. The result is secure, end-to-end inheritance and protection of your business data, from source to point of consumption.
Thank you for reading this blog! We hope that these and other information protection capabilities we’re introducing will help you drive data culture and digital transformation in your organization. Will be happy to get your feedback, answer questions.
Feel free to use comments below or Power BI community channels.
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