Description

How do you modernize data mastering when you’re still relying on legacy tools, data volumes have grown to millions of records, and you have numerous critical downstream dependencies? In this webinar, we’ll share a leading UK retail brand’s journey from an out-dated approach to data mastering to a scalable, AI-native, real-time “golden record engine.” 

Hear how they reconciled and refactored over 10 million customer records while maintaining the integrity of downstream models and operations. We’ll discuss and provide a demo of how AI-native MDM helped them automate data stewardship, entity resolution, and address enrichment – reducing manual effort while improving the accuracy and consistency of customer data. 

You’ll learn how this major international brand and other leading retailers have approached modernization without disrupting critical business processes, and how to build a scalable foundation that continuously keeps trusted data up-to-date in real time. This session offers practical insights for data leaders looking to modernize MDM, improve customer data quality, and see how Tamr’s MDM solution helps organizations improve and prepare their data AI and other business applications. 

Ravi Hulasi Head of Strategic Solutions Tamr	Max Morgan Customer Success Manager Tamr
James Boot-Handford Senior Sales Engineer Tamr

In this session, you will:

• Learn how a leading UK retailer modernized MDM and reconciled 10M+ customer records without compromising downstream models and operations

• Discover how they built a scalable, real-time golden record engine to keep customer data continuously up-to-date 

• See and hear how Tamr’s AI-native MDM automated data stewardship, entity resolution, and address enrichment 

• Get practical insights for modernizing legacy data mastering while supporting AI initiatives and better business operations

Sign up now!