In the evolving data privacy landscape, organizations across industries need ways to collaborate with their partners while improving data security and better protecting underlying data. AWS Clean Rooms helps companies and their partners more easily and securely analyze and collaborate on their collective datasets–without sharing or copying one another’s underlying data. With AWS Clean Rooms, customers can create a secure data clean room in minutes, and collaborate with any other company on AWS to generate unique insights about advertising campaigns, investment decisions, and research and development.
The need for data collaboration spans company size, geography, and industry. Here are top use cases across key industries that AWS has defined with our customers:
With AWS Clean Rooms, advertisers, media publishers, and their partners can expand their access to data as they create, deliver, and measure personalized advertising experiences for customers.
- Enrich and personalize – Enhance your existing data set with attributes and signals to better understand consumers and personalize experiences while controlling data granularity.
- Plan campaigns securely – Understand overlap and incrementality of audiences across channels and partners without moving or sharing underlying raw data.
- Segment and activate – Run queries with your partners to build, match, and reach unique audience segments across channels and touchpoints with relevant advertising.
- Measure and attribute – Match impression data from media publishers with conversion events from advertisers without exposing raw user-level data.
Hospitals, biopharma companies, and research and academic institutions can use AWS Clean Rooms, a HIPAA-eligible service, to collaborate on data to improve patient and health outcomes.
- Research and scientific discovery – Leverage data across partners to inform the development of new medicines, vaccines, and treatments across therapeutic areas.
- Patient journey analysis – Develop interoperable patient record across the full patient journey from diagnosis through treatment to improve patient care and drive successful outcomes.
- Improve clinical trial outcomes – Connect clinical trial data with real world evidence data to optimize and validate clinical outcomes, and execute studies on long-term safety and efficacy.
- Analyze proprietary scientific data – Link scientific studies and proprietary research with real world data to improve population health outcomes and value-based care.
Banks, insurance companies, capital markets organizations and payment companies similarly need mechanisms to enrich their data with external data sources to power customer-centric digital experiences, to build and strengthen their fraud detection programs, and to measure and benchmark industry performance.
- Enhance customer insights – Enrich first party customer financial profile insights with external data sources to build customer-centric digital experiences.
- Detect fraud – Securely access and match data insights with external data sources to detect and prevent financial and insurance fraud.
- Measure and benchmark performance – Benchmark performance with competitors without revealing raw data to understand position within an overall distribution.
- Inform credit rating, underwriting and risk management – Leverage insights from additional data sources to improve credit scoring, underwriting, and risk management models.
Using AWS Clean Rooms, airlines, hotels, and restaurants can analyze collective datasets with other organizations to solve for their data collaboration needs.
- Single view of the traveler – Bring together disparate data across engagement channels to form a 360-degree view of travelers or guests.
- Connected guest experiences – Leverage data across all offline and online touchpoints during a traveler’s visit or stay to deliver a connected guest experience.
- Customer loyalty data management – Break down data silos across formal and informal loyalty programs to drive repeat business and support retention.
- Issue dynamic and personalized offers – Consortiums of brand can come together to leverage airfare, booking, shopping, and pricing data to price deliver dynamic offers to customers.
In conclusion, AWS Clean Rooms is here to help companies solve for their specific data collaboration use cases. These are a few examples of the many use cases that customers have for using AWS Clean Rooms. To learn more, visit AWS Clean Rooms.
