Agile Data Mastering

The Modern Approach to MDM: Emerging Technology for Data Mastering

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

Data Mastering at Scale with Michael Stonebraker

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

Accelerating Data Mastering — Naresh Murthy

Traditional data mastering solutions prevented Sunovion Pharmaceuticals from using its data to drive business results. They didn’t scale and adding new data sources was challenging. With Tamr, Sunovion quickly added new data sources and leveraged machine learning to master its data…

Connecting Data: A True Hollywood Love Story

Webinar: How data drives Hollywood’s biggest movie releases. Eric Iverson, former Divisional CIO at Sony Pictures Television and CIO & CTO at Creative Artists Agency (CAA) shares how data drives today’s movie business.

Webinar: How Toyota Masters Data at Scale Using Tamr and AWS

Toyota, one of the world’s largest automotive manufacturers, set out to find a solution that could integrate large volumes of customer records from a variety of systems to gain a holistic view of its customers. Toyota selected Tamr for its…

Webinar: Data Mastering at Scale

Master data management (MDM) software turned 15 years old this year. Originally launched in 2004 by SAP, master data management systems aimed to help resolve the data unification problem by creating a central source of standardized references to customers, products,…

The CDO’s Guide to Data Mastering at Scale

Read our ebook to learn why traditional approaches to data mastering don’t scale–and how to navigate the changing data landscape as a new CDO.

Agile Data Mastering

When it comes to data quality and availability, there is a gap between expectations and reality. Download this ebook to learn how Agile Data Mastering can solve common data challenges.