Building a DataOps Toolkit

Does your organization have the right DataOps Tools in place for your team? An enterprise data and analytics platform is designed to prepare very large datasets for efficient and scalable data and analytics. But too often, enterprises rely on a…

Read More


DataOps for Iteration

DataOps for Iteration and Data Insights

Your data and analytics customers want data insights–delivered to them quickly and efficiently, in a complete package. DataOps enable the delivery of this kind of data insight by bringing together people, tools, and data across multiple locations and business units.…

Read More


The DataOps Ecosystem

The DataOps Ecosystem

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…

Read More


What is DataOps?

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…

Read More


Customer Story: Societe Generale

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%.

Read More


Enterprise Data Unification Solution Video

In their recent Data Preparation Market Guide, Gartner predicts that “by 2019, data and analytics organizations that provide agile, curated internal and external datasets for a range of content authors will realize twice the business benefits as those that do…

Read More


The New Enterprise Data Brokers

  Automation of business process and decades of M&A have left enterprises with thousands of data silos. As a result, they have become reliant on armies of analysts to create the management reports that executives demand to run their businesses,…

Read More