Featured eBook
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 …
Andy Palmer shares the 9 key principles of a successful DataOps ecosystem. The modern DataOps infrastructure/ecosystem for large enterprises should include all 9 DataOps principles while embracing an open and best-of-breed approach.
From disaster relief to battlefield logistics, Tamr enables the U.S. government to make data-driven decisions that rely on accurate geospatial data.
It’s imperative that companies are able to answer key questions: Who am I buying from? Where can I consolidate my spend? How can I be better prepared for the next disruption? To do this businesses need a pipeline of accurate,…
Tamr’s technology is built on a unique workflow of human-guided machine learning and data expert validation. These two capabilities complement each other to ensure optimal results in the entity resolution process.
Every Chief Data Officer (CDO) knows that accurate spend analytics makes the difference between a “business as usual” and a “best-in-class” procurement organization. Without the right spending insights, organizations can’t make the smart decisions that lead to continuous improvements and economic…
As a CDO in the oil and gas industry, you’re tasked with optimizing all wells operations – from spud to plug. In this guide, you’ll learn: How Tamr is used by CDO’s to master dirty, disparate well data across all…
Tamr’s Well Data Mastering Solution solves the problem of dirty, disparate well data across all of an E&P company’s departments. Using human-guided machine learning that is scalable to any level, the software can cleanse and integrate the various information sources…
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.
Learn why traditional MDM systems don’t scale to meet the needs of large, multinational financial institutions.
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.
