During a time characterized by uncertainty and an unparalleled change, businesses and the global economy must demonstrate resilience to weather the storm. As a relatively new position in enterprises, Chief Data Officers (CDOs) have had to prove their resiliency every …
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.
A best-in-class DataOps ecosystem brings together a collection of tools and service providers that are interoperable. Watch this interview with Mark Ramsey, Founder of data and analytics consultancy Ramsey International to learn: How DataOps brings people, process and technology together…
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.