updates benefits of labeling for clarity

Author: austinmccollum

articles/purview/create-sensitivity-label.md

@@ -24,7 +24,7 @@ For example, applying a sensitivity label ‘highly confidential’ to a documen
 
 Azure Purview allows you to apply sensitivity labels to assets, enabling you to classify and protect your data.
 
-* **Label travels with the data:** The sensitivity labels used in Purview are currently recognized in Microsoft 365, SharePoint, Teams, Power BI, and SQL. If a label is applied on an asset in Purview and your data travels to any of the other platforms like Power BI or Office, the label also travels with the data. Similarly, if a label is applied on a Word document and then scanned by Purview, the label will flow to Purview.
+* **Label travels with the data:** The sensitivity labels created in Microsoft 365 can also be extended to Purview, SharePoint, Teams, Power BI, and SQL. When you apply a label on an office document and then scan it in Purview, the label will flow to Purview. While the label is applied to the actual file in M365, it is only added as metadata in the Purview catalog. While there are differences in how a label is applied to an asset across various services/applications, labels travel with the data and is recognized by all the services you extend it to. 
 * **Overview of your data estate:** Purview provides insights into your data through pre-canned reports. When you scan data in Purview, we hydrate the reports with information on what assets you have, scan history, classifications found in your data, labels applied, glossary terms, etc.
 * **Automatic labeling:** Labels can be applied automatically based on sensitivity of the data. When an asset is scanned for sensitive data, autolabeling rules are used to decide which sensitivity label to apply. You can create autolabeling rules for each sensitivity label, defining which classification/sensitive information type constitutes a label.
 * **Apply labels to files and database columns:** Labels can be applied to files in storage like Azure Data Lake, Azure Files, etc. and to schematized data like columns in Azure SQL DB, Cosmos DB, etc.