We use cookies. You have options. Cookies help us keep the site running smoothly and inform some of our advertising, but if you’d like to make adjustments, you can visit our Cookie Notice page for more information.
We’d like to use cookies on your device. Cookies help us keep the site running smoothly and inform some of our advertising, but how we use them is entirely up to you. Accept our recommended settings or customise them to your wishes.
×

Share Sensitive Enterprise Data in a Secure and Privacy-compliant Way

Original Presentation Date

May 25, 2021

Key Takeaways

  • Current consumer privacy regulation and big tech restrictions driving the need for a data clean room environment
  • Data clean room use cases and best practices for CX-focused marketers and data science teams
  • The different types of data clean rooms built today to determine which best meets your organization’s needs
  • Key components and architecture of a private data clean room built on Amazon Web Services (AWS) and Redshift

Detailed Overview

In the age of increasing privacy regulations and big tech restrictions, data clean rooms are becoming more relevant than ever to consolidate and privacy-proof enterprise data sharing. Recently, walled gardens such as Facebook, Google, and Amazon have started creating their own clean rooms for sharing aggregated data with marketers. Marketing and analytics teams are leaning on their IT to build and manage their organization’s own data clean room to integrate customer data, identity, and analytics—all to activate privacy-safe and real-time customer experiences (CX).

Join this webinar to learn how your organization can harness the power of the clean room within an automated, scalable, cloud-based data environment.

Please note: This webinar will be hosted by ITPro Today. You will be redirected to their landing page to register for the webinar.

Presenters

Jon Williams

Head of Worldwide Business Development for Agencies, AWS

Jon Regan

Vice President, Technology & Data Management

Bharat Baldewa

Sr. Director, Analytics, Merkle