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 scalability …
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What is data stewardship and what are the areas where machine learning can help data stewards? Download our guide to machine learning to find out.
In this chapter from the book Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker, Ihab Ilyas discusses the academic project that eventually become Tamr.
In this chapter from the book ‘Making Databases Work’, Nik Bates-Haus discusses his experience recruiting Tamr’s core engineering team and building the first release of the company’s commercial product for data unification.
In this chapter from the book ‘Making Databases Work’, Andy Palmer discusses what it’s like to run a company with Michael Stonebraker.
Learn how Tamr worked with one of the largest International Oil Companies (IOC) to help them deliver unified and consistent data for improved operations decision making.
The process of migrating your data to new software is a lot like moving into a new house: you want to consolidate and clean. That’s the role played by Tamr’s data unification and cleaning services during a migration.
Watch Jean-Baptiste Ann, Head of Sourcing Methods & Information Systems at Societe General, explain how Tamr’s solution helped the company achieve a 92% reduction in the time it takes to add new data sources, reducing manual support effort from IT and Procurement teams by over 90%.
In 2019, it’s no longer a question of whether to become an analytics-driven organization, but how.
Learn how enterprises have applied three generations of AI to address data unification challenges.