AWS Announces AWS Clean Rooms - Seite 2

AWS Clean Rooms is a new service that makes it easier for customers and their partners to analyze and collaborate on their collective datasets to gain new insights, without revealing underlying data. Customers can use AWS Clean Rooms to create their own clean rooms in minutes and to start analyzing their collective datasets with just a few clicks. From the AWS Management Console, customers can simply choose the partners with whom they want to collaborate, select their datasets, and configure restrictions for participants. With AWS Clean Rooms, customers can easily collaborate with companies that are already using AWS, without moving data out of their AWS environment or loading it into another platform. When customers run queries, AWS Clean Rooms reads data where it lives and applies built-in analysis rules to help them maintain control over their data. Additionally, AWS Clean Rooms provides a broad set of configurable data access controls—including query controls, query output restrictions, and query logging—that allow companies to customize restrictions on the queries run by each clean room participant. AWS Clean Rooms also includes advanced cryptographic computing tools that keep data encrypted, even as queries are processed, to comply with stringent data-handling policies.

“Customers tell us they want to collaborate more safely and securely with their partners in areas like advertising, media, financial services, and life sciences. However, the data they need to do this is fragmented across data stores and applications belonging to different partners,” said Dilip Kumar, vice president of AWS Applications. “AWS Clean Rooms helps customers and their partners to better analyze and collaborate on their data on AWS. With the launch of AWS Clean Rooms, we are making it easier, simpler, and more secure for multiple companies to share and analyze combined datasets to generate new insights that they could not do on their own. Using AWS Clean Rooms, customers can collaborate on a range of tasks, such as more effectively generating advertising campaign insights and analyzing investment data while improving data security.”

In the coming months, AWS will also introduce new identity resolution capabilities to help businesses match and link customer records stored across disparate channels without the need to build and maintain complex workflows. Customers will have access to flexible, preconfigured identity resolution workflows that use rule-based techniques and machine learning models to help accurately link consumer interactions across applications into a unique user ID. With identity resolution capabilities, customers can create a unified view of their interactions with consumers. For example, a customer working on an advertising campaign could incorporate recent events (e.g., ad clicks, cart abandonment, and purchases) into advertising and marketing applications (e.g., ad buying platforms, loyalty programs, and ecommerce systems) to create better, more relevant consumer experiences. Customers who want to collaborate with other partners in a clean room can use automated identity resolution workflows that identify common user IDs across datasets and help them more easily join data together.