Date: Tuesday, May 25, 2021
Time: 12:00 PM Eastern Daylight Time
Duration: 1 hour
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 IT to build and manage their own data clean room to integrate customer data, identity, and analytics—all to activate privacy-safe and real-time customer experiences.
Join Merkle, a customer experience management (CXM) organization, to learn how your organization can harness the power of the clean room within an automated, scalable, cloud-based data environment.
- 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 AWS and Redshift
Definition of a Data Clean Room: A privacy-safe data environment and analytics tools, with data, securely keyed and re-keyed to support cross-channel insights, segmentation and modeling, and person-based measurement use cases.
About Merkle: Merkle’s expertise in data, technology, and architecture helps organizations quickly build a modern and accessible enterprise data foundation—all to fuel master data management for marketing, cost-efficient innovation, and meet business results. As a strategic partner for leading cloud and marketing technology platforms, we have pre-built data and analytics accelerators to help organizations meet their needs today and scale as their needs evolve.
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Theresa Miller, Contributing Editor, ITPro Today
Theresa is a Principal Technologist. She is an IT professional that has been working as a technical expert in IT for over 20 years and has her MBA. She is uniquely industry recognized as a Microsoft MVP, Citrix CTP, VMware vExpert, and is the founder of the community website https://24x7itconnection.com. You can also find her on twitter @24x7itconnect.
Jon Regan, Vice President, Technology & Data Management, Merkle
Jon is a Vice President in Merkle’s Technology Group in North America and is the Platform Owner of the Data Accelerator Platform. He is responsible for executing the platform vision as well as driving the development, onboarding and support teams for the Data Accelerator.
During his time with Merkle, he has held multiple roles that span across product management, leading the DMP implementation practice, heading the digital technology solutions team and building marketing database solutions. He has worked with a variety of companies spanning multiple industries including Clorox, Subaru, Citizens Bank, HBO, Sanofi Aventis, PNC Bank, and Schneider Electric.
Jon holds a Bachelor's degree from Binghamton University.
Coin Graham, Principal Cloud Solution Architect, Merkle
Coin joined Merkle in 2020 and is the Principal Cloud Solution Architect on the Cloud Innovation team. He is responsible for driving excellence in AWS cloud solutions and building best-of-breed patterns for cloud and data modernization.
Coin is an experienced AWS Cloud Architect with a focus on big data platforms and strategy. Large scale enterprise migration experience and comfortable with executive engagement around cloud strategy, governance, automation, and security.
Coin has achieved 6 AWS Certifications including AWS SA Pro, DevOps Pro, and Big Data Specialty. He received his B.S. in Mathematics from the Lee University.
Bharat Baldewa, Director, Analytics, Merkle
Bharat is a Director at Merkle and leads the Data Science practice for M1 and Merkury Platforms. He brings in 10 years of strategy analytics and consulting experience delivering big-data-driven insights to the top financial institutions, automakers, and retail and CPG businesses. His core expertise lies in establishing and furthering a data-driven culture, delivering complex analytical projects, and aligning them to business requirements and implementation strategies. He has experience in audience targeting, identity management, customer value creation, financial crime detection, lending risk management among other functional areas.
He is a Masters in Technology from the Indian Institute of Technology Kanpur and has consulted organizations like American Express, CitiBank, Discover, PNC, Jaguar & Land Rover, and LVMH.