Resource Center

eBook

Connected data is the foundation to meaningful analytics and driving real business outcomes. Read on to learn how Tamr’s data mastering solutions power analytic insights.

Case Study

Tamr works with The Department of Homeland Security to enhance national security by providing rapid, trusted entity resolution

Case Study

Tamr’s modern customer data mastering capabilities power Santander’s continually updated and action-ready 360-degree views of its customers. Read the case study to learn more.

Case Study

The EOE uses Tamr to create golden records and obtain a 360-degree view of the people and organizations served across all agencies, over the entire course of their interaction with the department, allowing EOE to improve its services. Read this…

Customer Data Integration / Machine Learning
Case Study

By moving to Tamr’s modern, B2B customer data mastering, Littelfuse streamlined and sped-up its sales process; and critically, now trusts its business data to inform its decisions. View the full case study here.

eBook

Andy Palmer shares the 9 key principles of a successful DataOps ecosystem. The modern DataOps infrastructure/ecosystem for large enterprises should include all 9 DataOps principles while embracing an open and best-of-breed approach.

DataOps
Webinar

Johnson & Johnson unlocks analytics-ready data at scale with a modern cloud infrastructure with Tamr and Amazon Web Services.

Agile Data Mastering / Machine Learning / Manufacturing / Pharma & Healthcare
Webinar

Paul Balas, former Chief Advisor Advanced Analytics at Newmont, discusses new strategies for replacing rules-based master data management (MDM) with modern approaches

Agile Data Mastering / Machine Learning
Webinar

Watch this webinar to hear Nick Hall, former lead for the Analytics Center of Excellence at Barclays, discuss how he built high-performing analytics teams.

Data and Analytics / Financial Services
Webinar

Michael Stonebraker shares why data mastering is the only solution that can scale as you do and why traditional rules-based systems are failing.

Agile Data Mastering / Machine Learning