Clean Rooms AWS Benefits, Use cases And How It Works

Clean Rooms AWS

In just a few minutes, create a clean room. Work together with your partners while keeping raw data private.

What is AWS Clean Rooms?

Without exchanging or replicating each other’s underlying data, AWS Clean Rooms facilitate easier, safer analysis and collaboration on shared datasets between businesses and their partners. With Clean Rooms AWS, you can quickly establish a secure data clean room and work with any other business to produce original insights regarding research and development, investment choices, and advertising campaigns.

Benefits

Create your own clean room, add participants, and start collaborating in a few steps

Customers can install their own clean rooms more quickly and easily using AWS Clean Rooms, eliminating the need to develop, oversee, and maintain their own solutions. Additionally, businesses can include AWS Clean Rooms’ capability into their workflows by using APIs.

Collaborate with any company without sharing or revealing underlying data

Without transferring or sharing their raw data, Clean Rooms AWS facilitates the rapid and simple generation of insights from multi-party data. Customers can begin working with their partners’ datasets saved in Snowflake and AWS with zero extract, transform, and load (zero-ETL) by immediately granting permission for their data to be stored in AWS.

Protect underlying data with a broad set of privacy-enhancing controls for clean rooms

Through a wide range of privacy-enhancing features, such as fine-grained analysis rules, AWS Clean Rooms Differential Privacy, and cryptographic computing, AWS Clean Rooms supports strict data-handling standards. Additionally, you may audit and comprehend how your data is requested by using query logs.

Link and match customer records, use flexible SQL analysis rules, and train and deploy ML models with your partners

Any application, channel, or data store’s client records can be matched and linked with Clean Rooms AWS. To gain insights, you can utilize SQL, Spark SQL, or Analysis Builder. You can even bring your own machine learning model and share it with your partners without sharing your raw data or custom model.

How It Works

Customers and their partners can work together and analyze their combined datasets more quickly and securely using AWS Clean Rooms, all without having to share or duplicate each other’s underlying data.

Why AWS Clean Rooms?

With AWS Clean Rooms, you and your partners can more easily analyze and work together on shared datasets to obtain insights without disclosing underlying data to each other. With just a few simple steps, you can begin studying your collective datasets and construct your own clean rooms with AWS Clean Rooms. You can choose datasets, match relevant records, invite any customer you choose to work with, and impose participant limitations with AWS Clean Rooms.

Use cases

Enhance customer insights

Create a 360-degree picture of your clients by combining diverse data from partner databases and interaction channels.

Optimize marketing and advertising experiences

Improve campaign planning, activation, and measurement in conjunction with advertising and marketing partners to provide better, more pertinent customer experiences.

Improve reporting and measurement

Analyze sensitive data securely across businesses and corporate divisions to enhance reporting, evaluate risk, and forecast market trends.

Accelerate research and development

Work together to safely speed up the creation of new programs, technologies, and products that use data from several different businesses.

FAQs