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==Integration== Core integrations with data streams are: * Data streams are integrated with systems such as [[customer data platform]] (CDP), customer relationship management (CRM) or [[data management platform]] (DMP) to enrich users' profiles with external data. It is possible to expand the knowledge about existing users by using external sources.<ref>{{cite web|url=http://www.onaudience.com/resources/what-is-data-stream-and-how-to-use-it/|title=What is Data Stream and how to use it|website=OnAudience.com|date=April 17, 2019 |access-date=April 24, 2019|archive-url=https://web.archive.org/web/20190424083725/http://www.onaudience.com/resources/what-is-data-stream-and-how-to-use-it/|archive-date=April 24, 2019|url-status=live}}</ref> * Data streams are used to enrich business intelligence systems and make analysis more precise and conclusions more accurate. * In the case of [[content management system]] (CMS) integration, Data Stream is used to identify the users and personalize their visit, even if it's their first one. By data analysis, the actual content of the website is adapted to the user. * Data streams are integrated with [[demand side platform]] (DSP) within programmatic advertising ecosystem. Parties (e.g., advertisers) can exchange the users' IDs and concatenate with them existing profiles. * Data streams are used to choose respective user segments (e.g., people interested in the automotive industry) and use them in an online campaign. Segments are enriched with more user characteristics out of data stream and then sent to DSP.
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