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 …
Learn why traditional MDM systems don’t scale to meet the needs of large, multinational financial institutions.
DataOps is an automated, process-oriented methodology that increases analytic velocity throughout the organization and enables enterprises to get more out of their data. Watch this video featuring Andy Palmer, CEO and Co-Founder at Tamr, to learn more about: The purpose…
This report from the Eckerson Group surveys data and analytics professionals and provides an overview of the current trends in DataOps.
This guide outlines the steps needed to tackle one of Big Data’s more elusive components—data variety—to enable real-time access to accurate information across your organization.
Tamr’s Real World Evidence Integration Solution tackles the data challenge with a powerful data harmonization process that streamlines real world evidence integration for large volumes of disparate data to deliver transformational outcomes.
In this report, five data industry thought leaders explore DataOps—the automated, process-oriented methodology for delivering clean, reliable data across your organization.
Download this white paper to learn how Tamr uses machine learning to help organizations build a data-driven approach to taxonomy design.
Watch this on-demand webinar to learn about key challenges and benefits of DataOps, as well as best practices for implementing DataOps.
Toyota is one of the world’s largest automotive manufacturers. In 2013, the company launched Consumer One, a European-wide initiative to boost business in the region by putting the customer even closer to the center of Toyota’s activities. The idea was…
Tamr’s CDISC Conversion Solution tackles data challenges with a powerful data harmonization process, driven by human-guided machine learning that can replace traditional in-house tools prone to delays and errors.